{"id":15696,"date":"2023-06-20T07:43:49","date_gmt":"2023-06-20T07:43:49","guid":{"rendered":"https:\/\/www.startechup.com\/?p=15696"},"modified":"2024-07-01T10:36:34","modified_gmt":"2024-07-01T10:36:34","slug":"machine-learning-terms","status":"publish","type":"post","link":"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/","title":{"rendered":"Mastering Machine Learning Terms"},"content":{"rendered":"<p><a href=\"https:\/\/www.startechup.com\/en_au\/blog\/10-trends-in-machine-learning-in-2024\/\" target=\"_blank\" rel=\"noreferrer noopener\">Machine learning is everywhere around us<\/a> these days, and it&#8217;s no surprise that everyone wants to get in on the action. It&#8217;s an exciting field with a lot of potential, but it can be difficult to make sense of all the jargon.<\/p>\n\n\n\n<p>To help you out, we&#8217;ve compiled a comprehensive glossary of machine learning terms and definitions!<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_47_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69cffc4f31ab6\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-69cffc4f31ab6\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Accuracy\" title=\"Accuracy\">Accuracy<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Algorithm\" title=\"Algorithm\">Algorithm<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Annotation\" title=\"Annotation\">Annotation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Artificial_Neural_Network\" title=\"Artificial Neural Network\">Artificial Neural Network<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Attribute\" title=\"Attribute\">Attribute<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Bias\" title=\"Bias\">Bias<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Classification\" title=\"Classification\">Classification<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Classification_Threshold\" title=\"Classification Threshold\">Classification Threshold<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Clustering\" title=\"Clustering\">Clustering<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Continuous_variable\" title=\"Continuous variable\">Continuous variable<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Convergence\" title=\"Convergence\">Convergence<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Deep_Learning\" title=\"Deep Learning\">Deep Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Dimension\" title=\"Dimension\">Dimension<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Ensemble_Learning\" title=\"Ensemble Learning\">Ensemble Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Epoch\" title=\"Epoch\">Epoch<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Extrapolation\" title=\"Extrapolation\">Extrapolation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#False_Positive_Rate_FPR\" title=\"False Positive Rate (FPR)\">False Positive Rate (FPR)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Feature\" title=\"Feature\">Feature<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Feature_selection\" title=\"Feature selection\">Feature selection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Gradient_Accumulation\" title=\"Gradient Accumulation\">Gradient Accumulation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Hidden_Layers\" title=\"Hidden Layers\">Hidden Layers<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Hyperparameters\" title=\"Hyperparameters\">Hyperparameters<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Instance\" title=\"Instance\">Instance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Label\" title=\"Label\">Label<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Learning_rate\" title=\"Learning rate\">Learning rate<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Loss\" title=\"Loss\">Loss<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Model\" title=\"Model\">Model<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-28\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Natural_Language_Processing_NLP\" title=\"Natural Language Processing (NLP)\">Natural Language Processing (NLP)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-29\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Neural_Networks\" title=\"Neural Networks\">Neural Networks<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-30\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Normalization\" title=\"Normalization\">Normalization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-31\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Noise\" title=\"Noise\">Noise<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-32\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Overfitting\" title=\"Overfitting\">Overfitting<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-33\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Parameters\" title=\"Parameters\">Parameters<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-34\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Precision\" title=\"Precision\">Precision<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-35\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Recall\" title=\"Recall\">Recall<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-36\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Regression\" title=\"Regression\">Regression<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-37\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Regularization\" title=\"Regularization\">Regularization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-38\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Reinforcement_Learning\" title=\"Reinforcement Learning\">Reinforcement Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-39\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Segmentation\" title=\"Segmentation\">Segmentation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-40\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Supervised_Learning\" title=\"Supervised Learning\">Supervised Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-41\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Test_Set\" title=\"Test Set\">Test Set<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-42\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Training_set\" title=\"Training set\">Training set<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-43\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Transfer_learning\" title=\"Transfer learning\">Transfer learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-44\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#True_Positive_Rate\" title=\"True Positive Rate\">True Positive Rate<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-45\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Type_1_Error\" title=\"Type 1 Error\">Type 1 Error<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-46\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Type_2_Error\" title=\"Type 2 Error\">Type 2 Error<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-47\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Underfitting\" title=\"Underfitting\">Underfitting<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-48\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Unsupervised_Learning\" title=\"Unsupervised Learning\">Unsupervised Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-49\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Validation_Set\" title=\"Validation Set\">Validation Set<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-50\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Variance\" title=\"Variance\">Variance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-51\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/#Do_You_Need_Machine_Learning_Services\" title=\"Do You Need Machine Learning Services?\">Do You Need Machine Learning Services?<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"h-accuracy\"><span class=\"ez-toc-section\" id=\"Accuracy\"><\/span>Accuracy<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Accuracy is a metric used to assess the performance of a classification model. It represents the proportion of correct predictions made by the model, expressed as a percentage.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-algorithm\"><span class=\"ez-toc-section\" id=\"Algorithm\"><\/span>Algorithm<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>An algorithm in machine learning is a set of instructions or a method used to create a model. It involves applying specific procedures to the data, such as linear regression or decision trees, to generate the desired Machine Learning model.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-annotation\"><span class=\"ez-toc-section\" id=\"Annotation\"><\/span>Annotation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Annotation in machine learning involves attaching additional information to the data. Specifically, it is the process of assigning predefined categories or labels to documents and images. This labeled data is then used for training machine learning models, particularly for classification tasks through supervised learning. An example is assigning the digit &#8220;8&#8221; to an image of a handwritten numeral in a recognition task.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-artificial-neural-network\"><span class=\"ez-toc-section\" id=\"Artificial_Neural_Network\"><\/span>Artificial Neural Network<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Artificial Neural Networks (ANNs) are machine learning algorithms inspired by the structure and function of biological neural networks found in animal brains. They mimic the way the human brain processes and analyzes data. ANNs consist of interconnected neurons arranged in layers, performing complex computations to solve problems, much like how humans would approach them.<\/p>\n\n\n\n<p><strong>Related blogs:<\/strong><\/p>\n\n\n\n<p><a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/ai-consulting\/\">AI Consulting: Everything You Need to Know<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.startechup.com\/en_au\/blog\/10-key-ai-trends-in-2024\/\" target=\"_blank\" rel=\"noreferrer noopener\">10 Key AI Trends to Wat<\/a><a href=\"https:\/\/www.startechup.com\/en_au\/blog\/10-artificial-intelligence-trends-2023\/\" target=\"_blank\" rel=\"noreferrer noopener\">ch Out for in 2024<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-attribute\"><span class=\"ez-toc-section\" id=\"Attribute\"><\/span>Attribute<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>An attribute is a characteristic that describes an observation or instance. In a structured data format like a table, attributes are represented by columns, such as color, size, or weight. For instance, when estimating atmospheric temperature, attributes like atmospheric pressure and wind speed are recorded to determine today&#8217;s temperature.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-bias\"><span class=\"ez-toc-section\" id=\"Bias\"><\/span>Bias<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Bias in machine learning is the presence of errors or faults that cause the machine learning model to deviate from the training set, leading to inaccurate outcomes. It occurs when certain data elements are given higher importance or representation, resulting in systematic prejudice and analytical errors.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-classification\"><span class=\"ez-toc-section\" id=\"Classification\"><\/span>Classification<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Classification in machine learning is a predictive modeling technique that categorizes data inputs by assigning labels or categories. It utilizes algorithms like logistic regression, Naive Bayes, k-nearest neighbors, and support vector machines to separate inputs into distinct classes. This supervised learning approach enables data classification into binary or multi-class categories based on labeled examples.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-classification-threshold\"><span class=\"ez-toc-section\" id=\"Classification_Threshold\"><\/span>Classification Threshold<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The classification threshold is a decisive value used to make a specific determination. In machine learning, for instance, if a model predicts the presence of a cat in an image with a certainty of X%, a predefined criterion is set. If the confidence level exceeds 60%, the prediction is considered valid. In this case, the threshold value is 60 for classification.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-clustering\"><span class=\"ez-toc-section\" id=\"Clustering\"><\/span>Clustering<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Clustering is an unsupervised learning technique in machine learning that groups unlabeled data based on inherent characteristics. It aims to identify clusters or classes of data points with similar traits while maintaining a distinction between different groups. By maximizing intra-cluster similarities and minimizing inter-cluster similarities, clustering algorithms such as K-Means, Hierarchical Clustering, and Affinity Clustering help uncover patterns and structure within the data.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.startechup.com\/en_au\/services\/machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" width=\"960\" height=\"320\" src=\"https:\/\/www.startechup.com\/wp-content\/uploads\/StarTechUP-Machine-Learning-Services-1.jpg\" alt=\"StarTechUP Machine Learning Services\" class=\"wp-image-15701\" srcset=\"https:\/\/www.startechup.com\/wp-content\/uploads\/StarTechUP-Machine-Learning-Services-1.jpg 960w, https:\/\/www.startechup.com\/wp-content\/uploads\/StarTechUP-Machine-Learning-Services-1-300x100.jpg 300w, https:\/\/www.startechup.com\/wp-content\/uploads\/StarTechUP-Machine-Learning-Services-1-768x256.jpg 768w, https:\/\/www.startechup.com\/wp-content\/uploads\/StarTechUP-Machine-Learning-Services-1-18x6.jpg 18w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-continuous-variable\"><span class=\"ez-toc-section\" id=\"Continuous_variable\"><\/span>Continuous variable<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Continuous variables are types of variables that can take on a range of values defined by a numerical scale. They include measurements like sales figures or lifespan, which can span a continuum rather than being limited to specific discrete values.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-convergence\"><span class=\"ez-toc-section\" id=\"Convergence\"><\/span>Convergence<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Convergence is a stage in training a machine learning model where the change in loss becomes minimal between successive iterations. It signifies that the model has reached a stable state or the minimum position of the loss function. When the change in the cost of the loss function is negligible, it indicates that the model has converged and further adjustments are unlikely to occur.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-deep-learning\"><span class=\"ez-toc-section\" id=\"Deep_Learning\"><\/span>Deep Learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Deep Learning is a subfield of machine learning that mimics the functioning of the human brain. It utilizes artificial neural networks to interpret large amounts of structured and unstructured data, identifying patterns and making informed decisions. By learning from vast data sets, deep learning networks improve their accuracy and decision-making capabilities.<\/p>\n\n\n\n<p>Deep learning algorithms, such as perceptrons and multi-layer perceptrons, have gained significant attention due to their success in various domains like computer vision, signal processing, medical diagnosis, and autonomous driving.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-dimension\"><span class=\"ez-toc-section\" id=\"Dimension\"><\/span>Dimension<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In machine learning, the concept of dimension differs from its definition in physics. In this context, dimension refers to the number of features present in a dataset. For instance, in object detection, the flattened image size and color channels (e.g., 28x28x3) represent features of the input data. Essentially, dimensionality reflects the number of inputs or features used in algorithms to process and analyze data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-ensemble-learning\"><span class=\"ez-toc-section\" id=\"Ensemble_Learning\"><\/span>Ensemble Learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Ensemble Learning is an approach to achieving prediction consensus by combining the distinctive properties of two or more models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-epoch\"><span class=\"ez-toc-section\" id=\"Epoch\"><\/span>Epoch<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In machine learning, an epoch represents one complete pass of an algorithm over the entire dataset. In simpler terms, 1 epoch equals 1 iteration of the algorithm over the complete data set.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-extrapolation\"><span class=\"ez-toc-section\" id=\"Extrapolation\"><\/span>Extrapolation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Extrapolation involves making predictions beyond the dataset range. For instance, just because my dog barks doesn&#8217;t mean all dogs do too. In machine learning, extrapolating beyond the training data can be problematic.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-false-positive-rate-fpr\"><span class=\"ez-toc-section\" id=\"False_Positive_Rate_FPR\"><\/span>False Positive Rate (FPR)<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In machine learning, the False Positive Rate (FPR) is a metric used to evaluate the performance of a classification model. It is computed by dividing the number of false positive predictions by the total number of actual negative instances.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"461\" src=\"https:\/\/www.startechup.com\/wp-content\/uploads\/False-Positive-Rate-Formula-1024x461.jpg\" alt=\"False Positive Rate Formula\" class=\"wp-image-15697\" srcset=\"https:\/\/www.startechup.com\/wp-content\/uploads\/False-Positive-Rate-Formula-1024x461.jpg 1024w, https:\/\/www.startechup.com\/wp-content\/uploads\/False-Positive-Rate-Formula-300x135.jpg 300w, https:\/\/www.startechup.com\/wp-content\/uploads\/False-Positive-Rate-Formula-768x346.jpg 768w, https:\/\/www.startechup.com\/wp-content\/uploads\/False-Positive-Rate-Formula-1536x692.jpg 1536w, https:\/\/www.startechup.com\/wp-content\/uploads\/False-Positive-Rate-Formula-18x8.jpg 18w, https:\/\/www.startechup.com\/wp-content\/uploads\/False-Positive-Rate-Formula-1200x540.jpg 1200w, https:\/\/www.startechup.com\/wp-content\/uploads\/False-Positive-Rate-Formula.jpg 1561w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Feature\"><\/span>Feature<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In machine learning, features refer to the attributes and values used for training, such as &#8220;temperature&#8221; as the attribute and &#8220;25\u00b0 C&#8221; as the corresponding feature.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Feature_selection\"><\/span>Feature selection<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Feature selection is the process of choosing relevant data for creating a Machine Learning model.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Gradient_Accumulation\"><\/span>Gradient Accumulation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Gradient accumulation is a mechanism used to split large sample batches for neural network training into smaller mini-batches that run sequentially. This enables the use of larger batch sizes requiring more GPU memory than available.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Hidden_Layers\"><\/span>Hidden Layers<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Hidden layers in neural networks refer to the layers that exist between the input and output layers.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Hyperparameters\"><\/span>Hyperparameters<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Hyperparameters are properties of a model that govern its behavior and performance. They are higher-level settings that determine factors such as the speed of learning (learning rate) or the complexity of the model. Examples of hyperparameters include the depth of trees in a Decision Tree or the number of hidden layers in a Neural Network.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Instance\"><\/span>Instance<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>An instance refers to a specific data point or sample within a dataset. It represents a single observation or a row containing feature values. It is synonymous with &#8220;observation&#8221; and represents a single unit of data within the dataset.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Label\"><\/span>Label<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In supervised learning, the label corresponds to the &#8220;answer&#8221; or the target value associated with an observation. For instance, in a dataset used for classifying flowers into different species based on features like petal length and width, the label would indicate the species of the flower.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Learning_rate\"><\/span>Learning rate<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The learning rate is a parameter controlling the size of steps in optimization like Gradient Descent. A higher rate covers more ground but risks overshooting the lowest point. Low rates ensure confident steps in the negative gradient direction but require recalculations for longer computation times.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Loss\"><\/span>Loss<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Loss is a measure of the discrepancy between the true value and the predicted value in machine learning. It is calculated by subtracting the predicted value from the true value. A lower loss indicates a better-performing model unless the model has overfitted to the training data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Model\"><\/span>Model<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>A model is a data structure that holds the learned information from a machine learning algorithm applied to a dataset. It serves as the output of the algorithm, capturing the acquired knowledge.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Natural_Language_Processing_NLP\"><\/span>Natural Language Processing (NLP)<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on processing human languages. It plays a crucial role in data science and machine learning. Like human conversations, NLP algorithms analyze the syntax (word arrangement) and semantics (meaning of the arrangement) to understand and interpret language accurately.<\/p>\n\n\n\n<p>NLP has diverse applications, such as chatbot services, speech recognition, machine translation, and everyday tasks like search engines and autocorrection features.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.startechup.com\/wp-content\/uploads\/neural-networks-1024x683.jpg\" alt=\"neural networks\" class=\"wp-image-15698\" srcset=\"https:\/\/www.startechup.com\/wp-content\/uploads\/neural-networks-1024x683.jpg 1024w, https:\/\/www.startechup.com\/wp-content\/uploads\/neural-networks-300x200.jpg 300w, https:\/\/www.startechup.com\/wp-content\/uploads\/neural-networks-768x512.jpg 768w, https:\/\/www.startechup.com\/wp-content\/uploads\/neural-networks-1536x1024.jpg 1536w, https:\/\/www.startechup.com\/wp-content\/uploads\/neural-networks-18x12.jpg 18w, https:\/\/www.startechup.com\/wp-content\/uploads\/neural-networks-1200x800.jpg 1200w, https:\/\/www.startechup.com\/wp-content\/uploads\/neural-networks.jpg 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Neural_Networks\"><\/span>Neural Networks<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Neural networks are mathematical algorithms that mimic the structure and functioning of the brain. They consist of sequential layers of interconnected neurons, which enable them to analyze and understand complex patterns in data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Normalization\"><\/span>Normalization<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Normalization rescales feature values to a standard range, commonly used in regression problems to prevent overfitting, improve efficiency, and achieve better performance. By constraining weights in the model and standardizing the dataset, computations are faster.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Noise\"><\/span>Noise<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Noise is irrelevant or random information in a dataset that obscures underlying patterns.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Overfitting\"><\/span>Overfitting<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Overfitting is when a model is too specialized in learning from the training data, resulting in the incorporation of noise and specific details of that dataset. This leads to poor performance on new, unseen data and undermines the model&#8217;s effectiveness.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Parameters\"><\/span>Parameters<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Parameters are properties or variables that are learned during the training process of a machine learning model. They are specific to each experiment and are adjusted using optimization algorithms.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Precision\"><\/span>Precision<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Precision is a performance metric used in binary classification to evaluate how accurately a model identifies positive observations (e.g., &#8220;Yes&#8221;). In simpler terms, precision answers the question: &#8220;When the model predicts a positive outcome, how often is it correct?&#8221;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Recall\"><\/span>Recall<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Recall, also called sensitivity, is a binary classification metric that measures the classifier&#8217;s ability to detect positive instances. It answers the question: &#8220;How many of the actual positive instances did the classifier correctly identify?&#8221;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Regression\"><\/span>Regression<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Regression in machine learning involves predicting continuous outputs by analyzing the relationships between variables. It enables businesses to make informed decisions based on clear and interpretable data, such as predicting prices or sales using numerical data and regression algorithms like linear models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Regularization\"><\/span>Regularization<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Regularization is a method used to address overfitting by introducing a penalty for complex models in the loss function, helping to prevent excessive complexity in the learned model.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Reinforcement_Learning\"><\/span>Reinforcement Learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Reinforcement Learning is a branch of machine learning where an algorithm learns by trial and error to maximize rewards based on its actions in a given environment. It involves training a model to make a series of decisions, receiving rewards or penalties based on its actions, to maximize the overall reward.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Segmentation\"><\/span>Segmentation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Segmentation is the process of splitting a data set into multiple distinct sets. This division is carried out such that members of the same set are similar to one another yet differ from members of other sets.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Supervised_Learning\"><\/span>Supervised Learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Supervised Learning is a machine learning method that involves training algorithms using labeled datasets to classify data and make predictions. The labeled dataset provides input-output pairs, allowing the algorithm to learn patterns and predict unseen data. It includes techniques such as regression, classification, and forecasting and employs tools like decision trees for classification tasks.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Test_Set\"><\/span>Test Set<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>A test set is a collection of data samples that are used to evaluate the performance of a trained machine learning model. It serves as a measure of how well the model can generalize its predictions to unseen data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Training_set\"><\/span>Training set<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>A training set refers to a collection of observations that serve as the foundation for generating machine learning models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Transfer_learning\"><\/span>Transfer learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Transfer Learning is a technique in machine learning where the knowledge gained from training a model on one task is utilized as a foundation for training a model on a different task. Instead of starting from scratch, the pre-trained weights of an existing model are employed, leveraging the previously learned features.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"True_Positive_Rate\"><\/span>True Positive Rate<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In machine learning, the True Positive Rate is also known as sensitivity or recall. It is a performance metric used in binary classification tasks. It measures the ability of a model to correctly identify positive instances from the actual positive examples in the dataset.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Type_1_Error\"><\/span>Type 1 Error<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>A type 1 error is called False Positives. Likened in hiring, it occurs when a candidate appears to be a good fit but turns out to be a bad hire.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Type_2_Error\"><\/span>Type 2 Error<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Type 2 errors, also known as false negatives. In this instance, the candidate passed all assessments but was not hired.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Underfitting\"><\/span>Underfitting<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Underfitting happens when a model over-generalizes and misses out on relevant variations in the data that add predictive power. You can identify underfitting when a model performs poorly on both training and test sets.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Unsupervised_Learning\"><\/span>Unsupervised Learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Unsupervised Learning is a type of machine learning that enables algorithms to learn without the need for explicit instructions or data points. By analyzing and finding structure in unlabeled datasets, these algorithms can discover hidden patterns and generate output without interference.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Validation_Set\"><\/span>Validation Set<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Observations used during model training to assess generalization beyond the training set. If the training error decreases, but the validation error increases, your model is overfitting, and you should pause training.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Variance\"><\/span>Variance<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Variance measures how close your predictions are to each other for a given observation. Low variance means consistent predictions, while high variance indicates overfitting and too much focus on noise in the training set.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Do_You_Need_Machine_Learning_Services\"><\/span>Do You Need Machine Learning Services?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Now that you know all the buzzwords, why not work with a team of experts to help you leverage the power of machine learning?<\/p>\n\n\n\n<p>At StarTechUP, we specialize in helping businesses develop custom <a href=\"https:\/\/www.startechup.com\/en_au\/services\/machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">Machine Learning solutions<\/a> tailored to their unique needs. We also offer <a href=\"https:\/\/www.startechup.com\/en_au\/services\/mobile-app-development\/\" target=\"_blank\" rel=\"noreferrer noopener\">mobile app<\/a> and <a href=\"https:\/\/www.startechup.com\/en_au\/services\/web-application-development\/\" target=\"_blank\" rel=\"noreferrer noopener\">web development services<\/a> to help you get the most out of your machine learning models.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.startechup.com\/en_au\/contact\/\" target=\"_blank\" rel=\"noreferrer noopener\">Contact us<\/a> today for more information!<\/p>","protected":false},"excerpt":{"rendered":"<p>Machine learning is everywhere around us these days, and it&#8217;s no surprise that everyone wants to get in on the action. It&#8217;s an exciting field with a lot of potential, but it can be difficult to make sense of all the jargon. To help you out, we&#8217;ve compiled a comprehensive glossary of machine learning terms [&hellip;]<\/p>\n","protected":false},"author":27,"featured_media":17704,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":""},"categories":[58],"tags":[],"acf":[],"featured_image_urls_v2":{"full":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms.jpg",1920,1080,false],"thumbnail":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms-150x150.jpg",150,150,true],"medium":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms-300x169.jpg",300,169,true],"medium_large":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms-768x432.jpg",580,326,true],"large":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms-1024x576.jpg",580,326,true],"1536x1536":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms-1536x864.jpg",1536,864,true],"2048x2048":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms.jpg",1920,1080,false],"trp-custom-language-flag":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms-18x10.jpg",18,10,true],"post-thumbnail":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms-1200x675.jpg",1200,675,true],"twentytwenty-fullscreen":["https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms.jpg",1920,1080,false]},"post_excerpt_stackable_v2":"<p>Machine learning is everywhere around us these days, and it&#8217;s no surprise that everyone wants to get in on the action. It&#8217;s an exciting field with a lot of potential, but it can be difficult to make sense of all the jargon. To help you out, we&#8217;ve compiled a comprehensive glossary of machine learning terms and definitions! Table of Contents AccuracyAlgorithmAnnotationArtificial Neural NetworkAttributeBiasClassificationClassification ThresholdClusteringContinuous variableConvergenceDeep LearningDimensionEnsemble LearningEpochExtrapolationFalse Positive Rate (FPR)FeatureFeature selectionGradient AccumulationHidden LayersHyperparametersInstanceLabelLearning rateLossModelNatural Language Processing (NLP)Neural NetworksNormalizationNoiseOverfittingParametersPrecisionRecallRegressionRegularizationReinforcement LearningSegmentationSupervised LearningTest SetTraining setTransfer learningTrue Positive RateType 1 ErrorType 2 ErrorUnderfittingUnsupervised LearningValidation SetVarianceDo You Need Machine Learning Services? Accuracy Accuracy is a&hellip;<\/p>\n","category_list_v2":"<a href=\"https:\/\/www.startechup.com\/en_au\/blog\/category\/learn\/\" rel=\"category tag\">Learn<\/a>","author_info_v2":{"name":"Andrea Jacinto","url":"https:\/\/www.startechup.com\/en_au\/blog\/author\/ajacinto\/"},"comments_num_v2":"0 comments","yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v21.8.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Machine Learning Terms | StarTechUP<\/title>\n<meta name=\"description\" content=\"Get up to speed on the key machine learning terms and definitions with this comprehensive glossary. Learn the lingo to succeed in ML today!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mastering Machine Learning Terms\" \/>\n<meta property=\"og:description\" content=\"Get up to speed on the key machine learning terms and definitions with this comprehensive glossary. Learn the lingo to succeed in ML today!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/\" \/>\n<meta property=\"og:site_name\" content=\"Startechup Inc\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/startechup\/\" \/>\n<meta property=\"article:published_time\" content=\"2023-06-20T07:43:49+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-07-01T10:36:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Andrea Jacinto\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@ajacinto\" \/>\n<meta name=\"twitter:site\" content=\"@startechup\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Andrea Jacinto\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"11 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/\"},\"author\":{\"name\":\"Andrea Jacinto\",\"@id\":\"https:\/\/www.startechup.com\/#\/schema\/person\/4f1d2499822d2f247cf6408135f1200c\"},\"headline\":\"Mastering Machine Learning Terms\",\"datePublished\":\"2023-06-20T07:43:49+00:00\",\"dateModified\":\"2024-07-01T10:36:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/\"},\"wordCount\":2265,\"publisher\":{\"@id\":\"https:\/\/www.startechup.com\/#organization\"},\"articleSection\":[\"Learn\"],\"inLanguage\":\"en-AU\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/\",\"url\":\"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/\",\"name\":\"Machine Learning Terms | StarTechUP\",\"isPartOf\":{\"@id\":\"https:\/\/www.startechup.com\/#website\"},\"datePublished\":\"2023-06-20T07:43:49+00:00\",\"dateModified\":\"2024-07-01T10:36:34+00:00\",\"description\":\"Get up to speed on the key machine learning terms and definitions with this comprehensive glossary. Learn the lingo to succeed in ML today!\",\"breadcrumb\":{\"@id\":\"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/#breadcrumb\"},\"inLanguage\":\"en-AU\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.startechup.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Mastering Machine Learning Terms\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.startechup.com\/#website\",\"url\":\"https:\/\/www.startechup.com\/\",\"name\":\"Startechup Inc\",\"description\":\"Startechup Inc.\",\"publisher\":{\"@id\":\"https:\/\/www.startechup.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.startechup.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-AU\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.startechup.com\/#organization\",\"name\":\"Startechup\",\"url\":\"https:\/\/www.startechup.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-AU\",\"@id\":\"https:\/\/www.startechup.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.startechup.com\/wp-content\/uploads\/startechup-logo-blue-red-transparent.svg\",\"contentUrl\":\"https:\/\/www.startechup.com\/wp-content\/uploads\/startechup-logo-blue-red-transparent.svg\",\"width\":181,\"height\":28,\"caption\":\"Startechup\"},\"image\":{\"@id\":\"https:\/\/www.startechup.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/startechup\/\",\"https:\/\/twitter.com\/startechup\",\"https:\/\/www.linkedin.com\/company\/startechup\",\"https:\/\/www.youtube.com\/channel\/UC_4XR4imvk28kEPt9gyhZ4g\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.startechup.com\/#\/schema\/person\/4f1d2499822d2f247cf6408135f1200c\",\"name\":\"Andrea Jacinto\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-AU\",\"@id\":\"https:\/\/www.startechup.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/a501b20ad47d10e8b11a085b6b575138?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/a501b20ad47d10e8b11a085b6b575138?s=96&d=mm&r=g\",\"caption\":\"Andrea Jacinto\"},\"description\":\"A content writer with a strong SEO background, Andrea has been working with digital marketers from different fields to create optimized articles which are informative, digestible, and fun to read. Now, she's writing for StarTechUP to deliver the latest developments in tech to readers around the world.\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/andrea-jacinto\/\",\"https:\/\/twitter.com\/ajacinto\"]}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Machine Learning Terms | StarTechUP","description":"Get up to speed on the key machine learning terms and definitions with this comprehensive glossary. Learn the lingo to succeed in ML today!","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/","og_locale":"en_US","og_type":"article","og_title":"Mastering Machine Learning Terms","og_description":"Get up to speed on the key machine learning terms and definitions with this comprehensive glossary. Learn the lingo to succeed in ML today!","og_url":"https:\/\/www.startechup.com\/en_au\/blog\/machine-learning-terms\/","og_site_name":"Startechup Inc","article_publisher":"https:\/\/www.facebook.com\/startechup\/","article_published_time":"2023-06-20T07:43:49+00:00","article_modified_time":"2024-07-01T10:36:34+00:00","og_image":[{"width":1920,"height":1080,"url":"https:\/\/www.startechup.com\/wp-content\/uploads\/Mastering-Machine-Learning-Terms.jpg","type":"image\/jpeg"}],"author":"Andrea Jacinto","twitter_card":"summary_large_image","twitter_creator":"@ajacinto","twitter_site":"@startechup","twitter_misc":{"Written by":"Andrea Jacinto","Est. reading time":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/#article","isPartOf":{"@id":"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/"},"author":{"name":"Andrea Jacinto","@id":"https:\/\/www.startechup.com\/#\/schema\/person\/4f1d2499822d2f247cf6408135f1200c"},"headline":"Mastering Machine Learning Terms","datePublished":"2023-06-20T07:43:49+00:00","dateModified":"2024-07-01T10:36:34+00:00","mainEntityOfPage":{"@id":"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/"},"wordCount":2265,"publisher":{"@id":"https:\/\/www.startechup.com\/#organization"},"articleSection":["Learn"],"inLanguage":"en-AU"},{"@type":"WebPage","@id":"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/","url":"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/","name":"Machine Learning Terms | StarTechUP","isPartOf":{"@id":"https:\/\/www.startechup.com\/#website"},"datePublished":"2023-06-20T07:43:49+00:00","dateModified":"2024-07-01T10:36:34+00:00","description":"Get up to speed on the key machine learning terms and definitions with this comprehensive glossary. Learn the lingo to succeed in ML today!","breadcrumb":{"@id":"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/#breadcrumb"},"inLanguage":"en-AU","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.startechup.com\/blog\/machine-learning-terms\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.startechup.com\/blog\/machine-learning-terms\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.startechup.com\/"},{"@type":"ListItem","position":2,"name":"Mastering Machine Learning Terms"}]},{"@type":"WebSite","@id":"https:\/\/www.startechup.com\/#website","url":"https:\/\/www.startechup.com\/","name":"Startechup Inc","description":"Startechup Inc.","publisher":{"@id":"https:\/\/www.startechup.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.startechup.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-AU"},{"@type":"Organization","@id":"https:\/\/www.startechup.com\/#organization","name":"Startechup","url":"https:\/\/www.startechup.com\/","logo":{"@type":"ImageObject","inLanguage":"en-AU","@id":"https:\/\/www.startechup.com\/#\/schema\/logo\/image\/","url":"https:\/\/www.startechup.com\/wp-content\/uploads\/startechup-logo-blue-red-transparent.svg","contentUrl":"https:\/\/www.startechup.com\/wp-content\/uploads\/startechup-logo-blue-red-transparent.svg","width":181,"height":28,"caption":"Startechup"},"image":{"@id":"https:\/\/www.startechup.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/startechup\/","https:\/\/twitter.com\/startechup","https:\/\/www.linkedin.com\/company\/startechup","https:\/\/www.youtube.com\/channel\/UC_4XR4imvk28kEPt9gyhZ4g"]},{"@type":"Person","@id":"https:\/\/www.startechup.com\/#\/schema\/person\/4f1d2499822d2f247cf6408135f1200c","name":"Andrea Jacinto","image":{"@type":"ImageObject","inLanguage":"en-AU","@id":"https:\/\/www.startechup.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/a501b20ad47d10e8b11a085b6b575138?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/a501b20ad47d10e8b11a085b6b575138?s=96&d=mm&r=g","caption":"Andrea Jacinto"},"description":"A content writer with a strong SEO background, Andrea has been working with digital marketers from different fields to create optimized articles which are informative, digestible, and fun to read. Now, she's writing for StarTechUP to deliver the latest developments in tech to readers around the world.","sameAs":["https:\/\/www.linkedin.com\/in\/andrea-jacinto\/","https:\/\/twitter.com\/ajacinto"]}]}},"_links":{"self":[{"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/posts\/15696"}],"collection":[{"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/users\/27"}],"replies":[{"embeddable":true,"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/comments?post=15696"}],"version-history":[{"count":3,"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/posts\/15696\/revisions"}],"predecessor-version":[{"id":17703,"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/posts\/15696\/revisions\/17703"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/media\/17704"}],"wp:attachment":[{"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/media?parent=15696"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/categories?post=15696"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.startechup.com\/en_au\/wp-json\/wp\/v2\/tags?post=15696"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}