{"id":91167,"date":"2023-07-01T12:42:35","date_gmt":"2023-07-01T07:12:35","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/machine-learning-models\/"},"modified":"2025-03-18T18:48:44","modified_gmt":"2025-03-18T13:18:44","slug":"machine-learning-models","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/machine-learning-models\/","title":{"rendered":"What are Machine Learning Models?"},"content":{"rendered":"\n<p><a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-machine-learning\/\">Machine learning<\/a> (ML) is revolutionizing various sectors through <a href=\"https:\/\/www.mygreatlearning.com\/blog\/guide-to-predictive-analytics-definition-core-concepts-tools-and-use-cases\/\">predictive analytics<\/a>, automation, and smart decision-making. Ranging from fraud detection to personalized recommendations, ML models bring businesses to the next level in data insight and decision-making.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-a-machine-learning-model\"><strong>What is a Machine Learning Model?<\/strong><\/h2>\n\n\n\n<p>A <strong>machine learning model<\/strong> is an algorithm trained to identify patterns within data and provide predictions or classifications. These paradigms are highly utilized in industries such as finance, healthcare, marketing, and artificial intelligence.<\/p>\n\n\n\n<p>The model learns from <strong>training data<\/strong>, identifies relationships, and applies these learnings to <strong>new, unseen data<\/strong> to make decisions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"types-of-machine-learning-techniques\"><strong>Types of Machine Learning Techniques<\/strong><\/h2>\n\n\n\n<p>Machine learning models are classified into three main categories:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Supervised Learning<\/strong> \u2013 Trained on labeled data (input-output pairs). Used for classification and <a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-regression\/\">regression<\/a> tasks.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mygreatlearning.com\/blog\/unsupervised-machine-learning\/\"><strong>Unsupervised Learning<\/strong><\/a> \u2013 Identifies hidden patterns in unlabeled data. Used for clustering and dimensionality reduction.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mygreatlearning.com\/blog\/reinforcement-machine-learning\/\"><strong>Reinforcement Learning<\/strong><\/a> \u2013 It is an adaptive training method used to train machines by interacting with the environment and receiving feedback for the actions taken. Applications range from robotics to the gaming industry and, thus, towards an area called AI-driven automation.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"top-5-machine-learning-models\"><strong>Top 5 Machine Learning Models<\/strong><\/h2>\n\n\n<figure class=\"wp-block-image aligncenter size-full zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/top-machine-learning-models.png\"><img decoding=\"async\" width=\"842\" height=\"560\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/top-machine-learning-models.png\" alt=\"Top Machine Learning Models\" class=\"wp-image-105722\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/top-machine-learning-models.png 842w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/top-machine-learning-models-300x200.png 300w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/top-machine-learning-models-768x511.png 768w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/top-machine-learning-models-150x100.png 150w\" sizes=\"(max-width: 842px) 100vw, 842px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"1-classification-model\"><strong>1. Classification Model<\/strong><\/h3>\n\n\n\n<p>A classification model categorizes data into predefined classes. It is widely used in scenarios where the output falls into distinct categories, such as \"spam or not spam\" or \"customer will buy or not buy\".<\/p>\n\n\n\n<p><strong>Best for:<\/strong> Email spam filtering, fraud detection, sentiment analysis.<\/p>\n\n\n\n<p><strong>Example:<\/strong> <a href=\"https:\/\/www.mygreatlearning.com\/blog\/logistic-regression-with-examples-in-python-and-r\/\">Logistic Regression<\/a> is a popular classification model for binary classification problems.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"2-regression-model\"><strong>2. Regression Model<\/strong><\/h3>\n\n\n\n<p>Regression models predict continuous values based on input features. They help in understanding relationships between variables and making numerical predictions.<\/p>\n\n\n\n<p><strong>Best for:<\/strong> Predicting sales, stock prices, weather forecasting.<\/p>\n\n\n\n<p><strong>Example:<\/strong> <a href=\"https:\/\/www.mygreatlearning.com\/blog\/linear-regression-in-machine-learning\/\">Linear Regression<\/a> is commonly used to forecast housing prices based on location, size, and amenities.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3-decision-tree-model\"><strong>3. Decision Tree Model<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.mygreatlearning.com\/blog\/decision-tree-algorithm\/\">Decision tree<\/a> is a tree-like structure that helps in decision-making by breaking down a dataset into smaller subsets based on conditions. The final decision is made by tracing a path from the root node to a leaf node.<\/p>\n\n\n\n<p><strong>Best for:<\/strong> Customer segmentation, recommendation systems, risk assessment.<\/p>\n\n\n\n<p><strong>Example:<\/strong> E-commerce platforms use decision trees to recommend products based on user browsing behavior.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"4-clustering-model\"><strong>4. Clustering Model<\/strong><\/h3>\n\n\n\n<p>Clustering models group similar data points together based on common patterns. They are widely used in market research, fraud detection, and medical diagnostics.<\/p>\n\n\n\n<p><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><strong>Best for<\/strong>&nbsp;Customer segmentation, anomaly detection, and image segmentation.<\/span><\/p>\n\n\n\n<p><strong>Example:<\/strong> <a href=\"https:\/\/www.mygreatlearning.com\/blog\/learning-data-science-with-k-means-clustering\/\">K-Means clustering<\/a> is commonly used in customer segmentation to target specific audiences with personalized marketing.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"5-neural-network-model\"><strong>5. Neural Network Model<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.mygreatlearning.com\/blog\/types-of-neural-networks\/\">Neural networks<\/a> mimic the human brain by processing data through interconnected layers of neurons. These models excel at handling complex, high-dimensional data.<\/p>\n\n\n\n<p><strong>Best for:<\/strong> <a href=\"https:\/\/www.mygreatlearning.com\/blog\/image-recognition\/\">Image recognition,<\/a> <a href=\"https:\/\/www.mygreatlearning.com\/blog\/natural-language-processing-tutorial\/\">natural language processing<\/a>, <a href=\"https:\/\/www.mygreatlearning.com\/blog\/deep-learning-applications\/\">deep learning applications<\/a>.<\/p>\n\n\n\n<p><strong>Example:<\/strong> <a href=\"https:\/\/www.mygreatlearning.com\/blog\/cnn-model-architectures-and-applications\/\">Convolutional Neural Networks (CNNs)<\/a> are used in <a href=\"https:\/\/www.mygreatlearning.com\/blog\/face-recognition\/\">facial recognition<\/a> and medical image analysis.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-to-build-a-machine-learning-model\"><strong>How to Build a Machine Learning Model?<\/strong><\/h2>\n\n\n\n<p>Building a <strong>machine-learning model<\/strong> involves the following steps:<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-full zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/build-ml-models.png\"><img decoding=\"async\" width=\"770\" height=\"494\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/build-ml-models.png\" alt=\"Steps of Building Machine Learning Models\" class=\"wp-image-105723\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/build-ml-models.png 770w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/build-ml-models-300x192.png 300w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/build-ml-models-768x493.png 768w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/build-ml-models-150x96.png 150w\" sizes=\"(max-width: 770px) 100vw, 770px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-data-collection\/\">Data Collection<\/a><\/strong> \u2013 Gather relevant and high-quality data.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.mygreatlearning.com\/blog\/data-preprocessing\/\">Data Preprocessing<\/a><\/strong> \u2013 Clean and structure the data for analysis.<\/li>\n\n\n\n<li><strong>Choosing the Right Algorithm<\/strong> \u2013 Select a model based on the problem type.<\/li>\n\n\n\n<li><strong>Splitting Data into Training and Testing Sets<\/strong>\u2014Typically, 80% training and 20% testing ensure a reliable model.<\/li>\n\n\n\n<li><strong>Training the Model<\/strong> \u2013 Use Python libraries like Scikit-learn, TensorFlow, or PyTorch.<\/li>\n\n\n\n<li><strong>Model Evaluation<\/strong> \u2013 Measure accuracy using precision, recall, and F1-score.<\/li>\n\n\n\n<li><strong>Optimization &amp; <a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-fine-tuning\/\">Fine-Tuning<\/a><\/strong> \u2013 Improve model performance with <a href=\"https:\/\/www.mygreatlearning.com\/blog\/hyperparameter-tuning-explained\/\">hyperparameter tuning<\/a>.<\/li>\n<\/ul>\n\n\n\n<p>Master the fundamentals of building and optimizing models with the <strong>free<\/strong><a href=\"https:\/\/www.mygreatlearning.com\/academy\/learn-for-free\/courses\/machine-learning-modelling\"> <strong>Machine Learning Modelling<\/strong><\/a> course, covering key techniques for data-driven decision-making.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"choosing-the-best-model-for-your-data\"><strong>Choosing the Best Model for Your Data<\/strong><\/h2>\n\n\n\n<p>When selecting an ML model, consider:<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-full zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/select-right-ml-model.png\"><img decoding=\"async\" width=\"914\" height=\"417\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/select-right-ml-model.png\" alt=\"How to select best machine learning model for your data?\" class=\"wp-image-105724\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/select-right-ml-model.png 914w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/select-right-ml-model-300x137.png 300w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/select-right-ml-model-768x350.png 768w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/select-right-ml-model-150x68.png 150w\" sizes=\"(max-width: 914px) 100vw, 914px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Nature of the Problem<\/strong> \u2013 Classification, regression, or clustering?<\/li>\n\n\n\n<li><strong>Size &amp; Quality of Data<\/strong> \u2013 Large datasets may require <a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-deep-learning\/\">deep learning<\/a>, while small datasets work well with traditional ML.<\/li>\n\n\n\n<li><strong>Computational Power<\/strong> \u2013 Neural networks need high processing power, whereas decision trees are lightweight.<\/li>\n\n\n\n<li><strong>Interpretability<\/strong> \u2013 Simple models like linear regression are easy to understand, while deep learning models are complex.<\/li>\n<\/ul>\n\n\n\n<p><strong>Tip:<\/strong> In some cases, combining multiple models (<strong>ensemble learning<\/strong>) can improve accuracy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-are-deep-learning-models\"><strong>What Are Deep Learning Models?<\/strong><\/h2>\n\n\n\n<p>Deep learning is a subset of machine learning that uses complex neural networks to analyze vast amounts of data. These models are beneficial for image recognition, speech processing, and natural language understanding.<\/p>\n\n\n\n<p>Types of Deep Learning Models<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.mygreatlearning.com\/blog\/cnn-model-architectures-and-applications\/\"><strong>Convolutional Neural Networks<\/strong><\/a><strong> (CNNs)<\/strong> \u2013 Used in image processing, object detection, and facial recognition.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mygreatlearning.com\/blog\/recurrent-neural-network\/\"><strong>Recurrent Neural Networks<\/strong><\/a><strong> (RNNs)<\/strong> \u2013 Used for time-series forecasting, speech recognition, and chatbots.<\/li>\n\n\n\n<li><strong>Long Short-Term Memory (LSTM)<\/strong> \u2013 Ideal for sequential data and text-based applications.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"applications-of-machine-learning-models\"><strong>Applications of Machine Learning Models<\/strong><\/h2>\n\n\n\n<p>The application of ML models in industries has changed the course of decision-making to <strong>data-driven<\/strong> and automated processes:<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-full zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/machine-learning-model-applications.png\"><img decoding=\"async\" width=\"914\" height=\"564\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/machine-learning-model-applications.png\" alt=\"Applications of Machine Learning Models\" class=\"wp-image-105725\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/machine-learning-model-applications.png 914w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/machine-learning-model-applications-300x185.png 300w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/machine-learning-model-applications-768x474.png 768w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2023\/07\/machine-learning-model-applications-150x93.png 150w\" sizes=\"(max-width: 914px) 100vw, 914px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Healthcare<\/strong> \u2013 For diagnosing a disease and selecting a personalized treatment.<\/li>\n\n\n\n<li><strong>Finance<\/strong> \u2013 For credit scoring and algorithm trading.<\/li>\n\n\n\n<li><strong>E-commerce<\/strong> \u2013 Product recommendations and sentiment analysis.<\/li>\n\n\n\n<li><strong>Autonomous Vehicles<\/strong> \u2013 Self-driving cars, real-time traffic prediction<\/li>\n\n\n\n<li><strong>Cybersecurity<\/strong> \u2013 Threat detection, fraud prevention<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"future-of-machine-learning-models\"><strong>Future of Machine Learning Models<\/strong><\/h2>\n\n\n\n<p>Machine learning is evolving rapidly with advancements in big data, cloud computing, and AI. Key trends shaping the future include:<\/p>\n\n\n\n<p>\u2714 <strong>AutoML (<\/strong><a href=\"https:\/\/www.mygreatlearning.com\/blog\/automated-machine-learning-automl\/\"><strong>Automated Machine Learning<\/strong><\/a><strong>)<\/strong> \u2013 Reduces the need to manually select your own model.<\/p>\n\n\n\n<p>\u2714 <strong>Explainable AI (XAI)<\/strong> \u2013 Improves transparency and trust in ML decisions.<\/p>\n\n\n\n<p>\u2714 <strong>Edge AI<\/strong> \u2013 Enables real-time processing on devices without cloud dependency.<\/p>\n\n\n\n<p>As businesses continue investing in AI-driven solutions, machine learning models will become smarter, faster, and more efficient.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"conclusion\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>At the core of AI-driven decisions lie the machine learning models. These ML models can predict customer behavior, detect fraud, or even enable a self-driving car-the options are endless really.<\/p>\n\n\n\n<p class=\"block-course-highlighter\">Explore <a href=\"https:\/\/www.mygreatlearning.com\/machine-learning\/free-courses\">free machine learning courses<\/a> and become an expert in <a href=\"https:\/\/www.mygreatlearning.com\/blog\/machine-learning-algorithms\/\">ML algorithms<\/a>, models, and their real-world applications.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"frequently-asked-questions-faqs\"><strong>Frequently Asked Questions (FAQs)<\/strong><\/h2>\n\n\n\n<p><strong>1. Can a decision tree model be used for both classification and regression tasks?<\/strong><\/p>\n\n\n\n<p>Indeed, decision trees can be used for both. Classification trees predict categorical outcomes (e.g., spam detection), while regression trees predict continuous values (e.g., house prices).<\/p>\n\n\n\n<p><strong>2. How do clustering models handle new data points after training?<\/strong><\/p>\n\n\n\n<p>Clustering models assign new data points to the nearest existing cluster. The model may require retraining or dynamic clustering adjustments if a new data point significantly differs from existing clusters.<\/p>\n\n\n\n<p><strong>3. What are the challenges of using neural networks?<\/strong><\/p>\n\n\n\n<p>Neural networks require large datasets, high computational power, and extensive hyperparameter tuning. They also tend to be black-box models, making their decision-making process harder to interpret.<\/p>\n\n\n\n<p><strong>4. When should I use ensemble learning?<\/strong><\/p>\n\n\n\n<p>Use <strong>ensemble learning<\/strong> (e.g., <a href=\"https:\/\/www.mygreatlearning.com\/blog\/random-forest-algorithm\/\">Random Forest<\/a>, <a href=\"https:\/\/www.mygreatlearning.com\/blog\/gradient-boosting\/\">Gradient Boosting<\/a>) when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A single model is not performing well.<\/li>\n\n\n\n<li>You want to increase accuracy and reduce variance.<\/li>\n<\/ul>\n\n\n\n<p><strong>5. How can I improve an underperforming machine learning model?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-feature-engineering\/\">Feature Engineering<\/a><\/strong> \u2013 Improve data quality.<\/li>\n\n\n\n<li><strong>Hyperparameter Tuning<\/strong> \u2013 Optimize parameters.<\/li>\n\n\n\n<li><strong>More Training Data<\/strong> \u2013 Helps reduce bias and variance.<\/li>\n\n\n\n<li><strong>Try a Different Model<\/strong> \u2013 Some algorithms work better for certain tasks.<\/li>\n<\/ul>\n\n\n\n<p><strong>Also Read: <\/strong><a href=\"https:\/\/www.mygreatlearning.com\/blog\/deep-learning-tools-you-should-know\/\">Top Machine Learning Tools<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" class=\"wp-block-heading\" id=\"our-machine-learning-courses\">Our Machine Learning Courses<\/h2>\n\n\n\n<p>Explore our Machine Learning and AI courses, designed for comprehensive learning and skill development.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Program Name<\/strong><\/th><th><strong>Duration<\/strong><\/th><\/tr><tr><th><a href=\"https:\/\/professionalonline2.mit.edu\/no-code-artificial-intelligence-machine-learning-program\">MIT No code AI and Machine Learning Course<\/a><\/th><th>12 Weeks<\/th><\/tr><tr><th><a href=\"https:\/\/idss-gl.mit.edu\/mit-idss-data-science-machine-learning-online-program\">MIT Data Science and Machine Learning Course<\/a><\/th><th>12 Weeks<\/th><\/tr><tr><th><a href=\"https:\/\/www.mygreatlearning.com\/mit-data-science-and-machine-learning-program\">Data Science and Machine Learning Course<\/a><\/th><th>12 Weeks<\/th><\/tr><\/thead><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning models identify patterns in data to make predictions. From classification and regression to neural networks, these models are used in industries like healthcare, finance, and e-commerce. This article explores key techniques, top models, and how to build and optimize them for real-world applications.<\/p>\n","protected":false},"author":41,"featured_media":105731,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[2],"tags":[36799],"content_type":[36252],"class_list":["post-91167","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-machine-learning","content_type-tutorials"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Machine Learning Models<\/title>\n<meta name=\"description\" content=\"Learn about machine learning models, their types, and applications. Understand how they work and how to choose the best model for your data.\" \/>\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.mygreatlearning.com\/blog\/machine-learning-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What are Machine Learning Models?\" \/>\n<meta property=\"og:description\" content=\"Learn about machine learning models, their types, and applications. 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