{"id":906,"date":"2024-03-11T14:19:27","date_gmt":"2024-03-11T14:19:27","guid":{"rendered":"https:\/\/tbekk.com\/devstream\/?p=906"},"modified":"2024-03-11T14:21:04","modified_gmt":"2024-03-11T14:21:04","slug":"109-best-resources-to-learn-machine-learning-online-in-2024","status":"publish","type":"post","link":"https:\/\/tbekk.com\/devstream\/2024\/03\/11\/109-best-resources-to-learn-machine-learning-online-in-2024\/","title":{"rendered":"109 Best Resources to Learn Machine Learning Online in 2024"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-medium-gray-color has-alpha-channel-opacity has-medium-gray-background-color has-background is-style-wide\"\/>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em><strong>Link: <\/strong><\/em><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/\"><span style=\"text-decoration: underline;\"><em>MLTut<\/em><\/span><\/a><\/li>\n\n\n\n<li><em><strong>Publication date:<\/strong><\/em> <em>March 10, 2024<\/em> <\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-medium-gray-color has-alpha-channel-opacity has-medium-gray-background-color has-background is-style-wide\"\/>\n\n\n\n<p>Machine Learning is very powerful and popular. Many people are shifting their careers into the Machine learning field. But when it comes to learning machine learning, most of us are stuck and don\u2019t know where to learn. That\u2019s why I thought to collect and combine all the&nbsp;<strong>best resources to learn machine learning online.<\/strong><\/p>\n\n\n\n<p>So give your few minutes and find out the best resources to learn machine learning. You can bookmark this article so that you can refer to this article later.<\/p>\n\n\n\n<p>Now without further ado, let\u2019s get started-<\/p>\n\n\n\n<p>Table Of Contents<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#skills-required-for-machine-learning\">Skills Required for Machine Learning-<\/a>\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#1-programming-language\">1. Programming Language<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#2-mathematics-skill\">2. Mathematics Skill<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#3-machine-learning-algorithms\">3. Machine Learning Algorithms<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#4-machine-learning-frameworks\">4. Machine Learning Frameworks<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#5-data-engineering-skills\">5. Data Engineering Skills<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#6-deep-learning-algorithms\">6. Deep Learning Algorithms<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#resources-to-learn-ml\">Resources to Learn ML-<\/a>\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#online-courses\">Online Courses<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#text-books\">Text Books<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#tutorials\">Tutorials<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#youtube-videos\">YouTube Videos<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#what-does-machine-learning-engineer-do\">What does Machine Learning Engineer do?<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#roles-and-responsibilities-of-machine-learning-engineer\">Roles and Responsibilities of Machine Learning Engineer<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/best-resources-to-learn-machine-learning-online\/#conclusion\">Conclusion<\/a><\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Best Resources to Learn Machine Learning Online<\/strong><\/h2>\n\n\n\n<p>Before discussing the resources, I would like to tell you what topics or skills you need to learn for Machine Learning-<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Skills Required for Machine Learning<\/strong>\u2013<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. Programming Language<\/strong><\/h4>\n\n\n\n<p>Knowledge of Programming language is compulsory for machine learning. And the most popular programming languages are&nbsp;<strong>Python, R, Java, and C++.<\/strong>&nbsp;But as a beginner, you can start with Python.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. Mathematics Skill<\/strong><\/h4>\n\n\n\n<p>Knowledge of<strong><a href=\"https:\/\/www.mltut.com\/best-math-courses-for-machine-learning\/\">&nbsp;Mathematics<\/a><\/strong>&nbsp;is very important to understand how machine learning and its algorithms work. In math, the most important topics are-<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Probability and Statistics<\/li>\n\n\n\n<li>Linear Algebra<\/li>\n\n\n\n<li>Calculus<\/li>\n<\/ul>\n\n\n\n<p>Now, let\u2019s have a detailed look at all of them-<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>a). Probability and Statistics<\/strong><\/h5>\n\n\n\n<p>Probability and statistics are used in Bayes\u2019 Theorem, Probability Distribution, Sampling, and Hypothesis Testing.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>b). Linear Algebra<\/strong><\/h5>\n\n\n\n<p>Linear Algebra has two important terms- Matrices and Vectors. They are both used widely in Machine Learning. Matrices are used in&nbsp;<strong>Image Recognition<\/strong>.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>c). Calculus<\/strong><\/h5>\n\n\n\n<p>In Calculus, you have&nbsp;<strong>Differential Calculus<\/strong>&nbsp;and&nbsp;<strong>Integral Calculus.&nbsp;<\/strong>These terms help you to determine the&nbsp;<strong>probability of events<\/strong>. For example, finding the posterior probability in the Naive Bayes model.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Machine Learning Algorithms<\/strong><\/h4>\n\n\n\n<p>You should know Machine Learning Algorithms like-<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Supervised Learning Algorithms<\/strong>\n<ul class=\"wp-block-list\">\n<li>Logistic Regression.<\/li>\n\n\n\n<li>K-Nearest Neighbors(K-NN)<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/svm-machine-learning\/\">Support Vector Machine(SVM)<\/a><\/li>\n\n\n\n<li>Kernel SVM.<\/li>\n\n\n\n<li>Naive Bayes<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/decision-tree-in-machine-learning-a-complete-guide-with-example\/\">Decision Tree Classification.<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/random-forest-algorithm-a-complete-and-super-easy-guide\/\">Random Forest Classification<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Unsupervised Learning Algorithms<\/strong>\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.mltut.com\/k-means-clustering-algorithm-complete-guide-in-simple-words\/\">K-Means Clustering<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/hierarchical-clustering-in-python-step-by-step-complete-guide\/\">Hierarchical Clustering.<\/a><\/li>\n\n\n\n<li>Probabilistic Clustering<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Reinforcement Learning Algorithms<\/strong>\n<ul class=\"wp-block-list\">\n<li>Policy Optimization.<\/li>\n\n\n\n<li>Q-Learning<\/li>\n\n\n\n<li>Learn the Model<\/li>\n\n\n\n<li>Given the Model.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. Machine Learning Frameworks<\/strong><\/h4>\n\n\n\n<p><strong><a href=\"https:\/\/www.mltut.com\/best-tensorflow-courses-certifications-online\/\">Machine Learning Frameworks&nbsp;<\/a><\/strong>make the life of developers and machine learning engineers a whole lot easier. ML Frameworks remove the complex part of machine learning and make it available for everyone who wants to use it.<\/p>\n\n\n\n<p>These are some widely used Machine Learning Frameworks-<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.mltut.com\/best-tensorflow-courses-certifications-online\/\">TensorFlow<\/a>.<\/li>\n\n\n\n<li>Theano.<\/li>\n\n\n\n<li>scikit learn.<\/li>\n\n\n\n<li><a href=\"https:\/\/pytorch.org\/\">PyTorch<\/a>.<\/li>\n\n\n\n<li>Keras.<\/li>\n\n\n\n<li>DL4J.<\/li>\n\n\n\n<li>Caffe.<\/li>\n\n\n\n<li>Microsoft Cognitive Toolkit.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>5. Data Engineering Skills<\/strong><\/h4>\n\n\n\n<p>For building a machine learning model, you need data for training and testing. That\u2019s why knowledge of data engineering is important. Data Engineering contains 3 basic steps-<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data pre-processing-<\/strong>&nbsp;Data pre-processing step is performed before you process the data. Data pre-processing steps are&nbsp;<strong>cleaning, parsing, correcting, and consolidating<\/strong>&nbsp;the data.<\/li>\n\n\n\n<li><strong>ETL (Extract, Transform, and Load)-&nbsp;<\/strong>In this step, you need to perform extraction of data from the internet or local server, then transform the data into a suitable format, and after that load the data into your program. That\u2019s why you should have knowledge of ETL so that you can perform these steps easily.<\/li>\n\n\n\n<li><strong>Knowledge of Database-&nbsp;<\/strong>You should be familiar with DBMS like SQL, Oracle Database, and No SQL.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>6. Deep Learning Algorithms<\/strong><\/h4>\n\n\n\n<p><strong><a href=\"https:\/\/www.mltut.com\/best-online-courses-on-machine-learning-you-must-know\/\">Deep learning<\/a><\/strong>&nbsp;is the subpart of machine learning. And it is much more powerful than machine learning. Deep learning is getting more interest nowadays. That\u2019s why you should be familiar with Deep Learning Algorithms.<\/p>\n\n\n\n<p>The most used&nbsp;<strong>Deep Learning Algorithms<\/strong>&nbsp;are-<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Feedforward Neural Network.<\/li>\n\n\n\n<li>Backpropagation.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/what-is-convolutional-neural-network-super-easy-explanation\/\">Convolutional Neural Network.<\/a><\/li>\n\n\n\n<li>Recurrent Neural Network.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.mltut.com\/what-is-generative-adversarial-network-all-you-need-to-know\/\">Generative Adversarial Networks (GAN).<\/a><\/li>\n<\/ol>\n\n\n\n<p>So, these are some must-have skills for Machine Learning, now let\u2019s move to the best resources to learn machine learning online.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Resources to Learn ML-<\/strong><\/h3>\n\n\n\n<p>For your convenience, I have created separate tables for each resource. So let\u2019s start with online courses-<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Online Courses<\/strong><\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th><strong>Topics<\/strong><\/th><th><strong>Online Courses<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>1. Programming Language (Python &amp; R)<\/strong><\/td><td><strong>1.&nbsp;<\/strong><a href=\"http:\/\/imp.i115008.net\/K1vae\">Introduction to Python Programming<\/a><strong>\u2013 Udacity<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/yRxYMb\">Python for Everybody<\/a>\u2013 University of Michigan<br>3.&nbsp;<a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=39197&amp;murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fpythonforbeginnersintro%2F\">Introduction To Python Programming<\/a>\u2013 Udemy<br>4.&nbsp;<a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=39197&amp;murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fpython-core-and-advanced%2F\">Python Core and Advanced<\/a>\u2013 Udemy<br>5.&nbsp;<a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=40328&amp;murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-crash-course\">Crash Course on Python<\/a>\u2013&nbsp;<em>Google<\/em><br>6.&nbsp;<a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=39197&amp;murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Ffree-python%2F\">Python for Absolute Beginners!<\/a>\u2013 Udemy<br>7.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/mgkBXO\">Python 3 Programming Specialization<\/a>\u2013 University of Michigan<br>8.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/2rB6gD\"><strong>R Programming<\/strong><\/a>&nbsp;\u2013 Johns Hopkins University<br>9.&nbsp;<a href=\"http:\/\/imp.i115008.net\/e6LnO\">Programming for Data Science with R<\/a>\u2013&nbsp;<em>Udacity<\/em><br>10.&nbsp;<a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=39197&amp;murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fr-programming%2F\">R Programming A-Z\u2122\u2013<\/a>&nbsp;<em>Udemy<\/em><\/strong><\/td><\/tr><tr><td><strong>2. Mathematics<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/qnGGxy\">Mathematics for Machine Learning Specialization<\/a><\/strong>\u2013&nbsp;<strong>Imperial College London<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/KeY6G7\">Mathematics for Data Science Specialization<\/a><\/strong>\u2013&nbsp;<strong>Coursera<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/x9qqm1\">Data Science Math Skills<\/a>\u2013 Duke University<br>4.&nbsp;<a href=\"https:\/\/imp.i115008.net\/xeqxx\">Intro to Statistics\u2013<\/a>&nbsp;Udacity<br>5.&nbsp;<a href=\"https:\/\/www.awin1.com\/cread.php?awinmid=6798&amp;awinaffid=790615&amp;clickref=&amp;ued=https%3A%2F%2Fwww.edx.org%2Fcourse%2Fprobability-the-science-of-uncertainty-and-data\">Probability \u2013 The Science of Uncertainty and Data\u2013<\/a>&nbsp;MITx<br>6.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/GjYYQm\">Basic Statistics<\/a>\u2013&nbsp;University of Amsterdam<br>7.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/QOx9Xa\">Probabilistic Graphical Models Specialization<\/a>\u2013 Stanford University<\/strong><br><strong>8.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/x9qKvx\">Introduction to Calculus<\/a>\u2013 The University of Sydney<\/strong><br><strong>9.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/P0qQdj\">Probability and Statistics<\/a>\u2013 University of London<\/strong><\/td><\/tr><tr><td><strong>3. Machine Learning Algorithms<\/strong><\/td><td><strong>1.&nbsp;<a href=\"http:\/\/imp.i115008.net\/OjM1W\">Become a Machine Learning Engineer&nbsp;<\/a>(Udacity)<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/Xx55Na\">Machine Learning<\/a><\/strong>\u2013&nbsp;<strong>Stanford University<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/RyDDbg\"><strong>Machine Learning with Python<\/strong><\/a><\/strong>\u2013&nbsp;<strong>IBM<\/strong><br><strong>4.&nbsp;<\/strong><a href=\"http:\/\/imp.i115008.net\/v7aqL\"><strong>Intro to Machine Learning with TensorFlow<\/strong>&nbsp;<\/a><strong>(Udacity)<\/strong><br><strong>5.<\/strong>&nbsp;<a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=39197&amp;murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fmachinelearning%2F\"><strong>Machine Learning A-Z\u2122: Hands-On Python &amp; R In Data Science<\/strong>&nbsp;<\/a><strong>-Udemy<\/strong><br><strong>6.&nbsp;<a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=39197&amp;murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fpython-for-data-science-and-machine-learning-bootcamp%2F\">Python for Data Science and Machine Learning Bootcamp<\/a>\u2013 Udemy<\/strong><br><strong>7.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/KeYYXx\">Advanced Machine Learning Specialization<\/a><\/strong>\u2013&nbsp;<strong>Coursera<\/strong><\/td><\/tr><tr><td><strong>4. TensorFlow<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/P0qq4Y\">TensorFlow in Practice Specialization<\/a>\u2013 deeplearning.ai<br>2.&nbsp;<a href=\"http:\/\/imp.i115008.net\/v7aqL\">Intro to Machine Learning with TensorFlow<\/a>\u2013 Udacity<br>3.&nbsp;<a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=39197&amp;murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fdeep-learning-tensorflow-2%2F\">Tensorflow 2.0: Deep Learning and Artificial Intelligence<\/a>\u2013 Udemy<br>4.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/x9qKDy\">TensorFlow: Data and Deployment Specialization<\/a>\u2013 deeplearning.ai<br>5.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/jWj7AZ\">Machine Learning with TensorFlow on Google Cloud Platform Specialization<\/a>\u2013 Google Cloud<\/strong><\/td><\/tr><tr><td><strong>5. Data Preprocessing<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/jWjjme\">Applied Data Science with Python Specialization<\/a><\/strong>&nbsp;<strong>by the University of Michigan<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/mgkYMa\">Exploratory Data Analysis With Python and Pandas<\/a>&nbsp;(Guided Project)<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/youtu.be\/QUT1VHiLmmI\" target=\"_blank\" rel=\"noreferrer noopener\">NumPy Tutorial by freeCodeCamp<\/a><\/strong><\/td><\/tr><tr><td><strong>6. Deep Learning<\/strong><\/td><td><strong>1.&nbsp;<a href=\"http:\/\/imp.i115008.net\/E3Mq2\">Deep Learning&nbsp;<\/a>(Udacity)<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/coursera.pxf.io\/WDPPNM\"><strong>Deep Learning Specialization<\/strong><\/a><\/strong>&nbsp;<strong>(deeplearning.ai)<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/www.anrdoezrs.net\/click-100149251-13835504\">AI &amp; Deep Learning with TensorFlow<\/a>&nbsp;(Edureka)<\/strong><br><strong>4.&nbsp;<\/strong><a href=\"https:\/\/click.linksynergy.com\/deeplink?id=Vrr1tRSwXGM&amp;mid=39197&amp;murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fdeeplearning%2F\"><strong>Deep Learning A-Z\u2122: Hands-On Artificial Neural Networks<\/strong>\u2013<\/a>&nbsp;<strong>Udemy<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Text Books<\/strong><\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th><strong>Topics<\/strong><\/th><th><strong>Text Books<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>Programming Language (Python &amp; R)<\/strong><\/td><td><strong>1.&nbsp;<a class=\"\" href=\"https:\/\/amzn.to\/3epl8u1\">Python Crash Course<\/a><\/strong>&nbsp;by Eric Matthes<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/3epl8u1\">Amazon<\/a><\/strong>&nbsp;or download PDF from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/python-crash-course-e90596647.html\">here.<\/a><\/strong><br><br><strong>2.&nbsp;<a class=\"\" href=\"https:\/\/amzn.to\/2M1PhUa\">Head First Python: A Brain-Friendly Guide<\/a><\/strong>&nbsp;by Paul Barry<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/2M1PhUa\">Amazon<\/a>&nbsp;<\/strong>or download PDF from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/head-first-python-a-brain-friendly-guide-e183836129.html\">here.<\/a><\/strong><br><br><strong>3.&nbsp;<a class=\"\" href=\"https:\/\/amzn.to\/3c8aHtp\">Learn Python the Hard Way<\/a><\/strong>&nbsp;by Zed A. Shaw&nbsp;<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/3c8aHtp\">Amazon<\/a>&nbsp;<\/strong>or download PDF from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/learn-python-3-the-hard-way-a-very-simple-introduction-to-the-terrifyingly-beautiful-world-of-computers-and-code-e195045215.html\">here.<\/a><\/strong><br><br><strong>4.<\/strong>&nbsp;<strong><a class=\"\" href=\"https:\/\/amzn.to\/3gs6gNn\">Automate the Boring Stuff with Python<\/a><\/strong>&nbsp;by Al Sweigart&nbsp;<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/3gs6gNn\">Amazon<\/a><\/strong>&nbsp;or download PDF from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/automate-the-boring-stuff-with-python-automate-the-boring-stuff-with-python-e26956384.html\">here.<\/a><\/strong><br><br><strong>5.&nbsp;<a href=\"https:\/\/amzn.to\/3ffmn0t\">R for Data Science<\/a><\/strong>&nbsp;by Hadley Wickham<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/3ffmn0t\">Amazon<\/a><\/strong>&nbsp;or download PDF from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/r-for-data-science-e45219638.html\">here<\/a><\/strong>.<br><br><strong>6.&nbsp;<a href=\"https:\/\/amzn.to\/2IP40E2\">Machine Learning with R<\/a><\/strong>&nbsp;by Brett Lantz&nbsp;<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/2IP40E2\">Amazon<\/a><\/strong><br><br><strong>7.&nbsp;<a href=\"https:\/\/amzn.to\/38SG6Ch\">The Book of R: A First Course in Programming and Statistics<\/a><\/strong>&nbsp;by Tilman M. Davies<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/38SG6Ch\">Amazon<\/a><\/strong>&nbsp;or download the PDF from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/the-book-of-r-a-first-course-in-programming-and-statistics-e176981764.html\">here<\/a><\/strong>.<\/td><\/tr><tr><td><strong>Mathematics<\/strong><\/td><td><strong>1.&nbsp;<a class=\"\" href=\"https:\/\/amzn.to\/3gQQR9R\">An Introduction to Statistical Learning<\/a><\/strong>&nbsp;by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani<br>Buy this book on Amazon-<a class=\"\" href=\"https:\/\/amzn.to\/3gQQR9R\"><strong>An Introduction to Statistical Learning<\/strong><\/a><br>You can download the pdf version of this book from&nbsp;<strong><a href=\"https:\/\/github.com\/tpn\/pdfs\/blob\/master\/An%20Introduction%20To%20Statistical%20Learning%20with%20Applications%20in%20R%20(ISLR%20Sixth%20Printing).pdf\">here.<\/a><\/strong><br><br><strong>2.&nbsp;<a class=\"\" href=\"https:\/\/amzn.to\/303khvd\">Practical Statistics for Data Scientists<\/a><\/strong>&nbsp;by Peter Bruce<br>Buy this book on Amazon-<a class=\"\" href=\"https:\/\/amzn.to\/303khvd\"><strong>Practical Statistics for Data Scientists<\/strong><\/a><br>You can download the pdf version of this book from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/practical-statistics-for-data-scientists-e45642334.html\">here.<\/a><\/strong><br><br><strong>3.&nbsp;<a class=\"\" href=\"https:\/\/amzn.to\/3drPImG\">Probability and Statistics for Data Science<\/a><\/strong>&nbsp;by Norman Matloff<br>Buy this book on Amazon-<strong><a class=\"\" href=\"https:\/\/amzn.to\/3drPImG\">Probability and Statistics for Data Science<\/a>.<\/strong><br><br><strong>4.&nbsp;<a class=\"\" href=\"https:\/\/amzn.to\/2AxxlhA\">Introduction to Probability<\/a><\/strong>&nbsp;by Joseph K. Blitzstein, Jessica Hwang<br>Buy this book on Amazon-&nbsp;<a class=\"\" href=\"https:\/\/amzn.to\/2AxxlhA\"><strong>Introduction to Probability.<\/strong><\/a><br>You can download the pdf version of this book from&nbsp;<strong><a href=\"https:\/\/ftp.xxcpeter.tech\/Probability%20and%20Statistics\/Books\/Joseph%20K.%20Blitzstein%2C%20Jessica%20Hwang-Introduction%20to%20Probability.pdf\">here.<\/a><\/strong><br><br><strong>5.&nbsp;<\/strong><a href=\"https:\/\/amzn.to\/2UDkPUP\"><strong>Mathematics for Machine Learning<\/strong>&nbsp;<\/a>by Marc Peter Deisenroth<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/2UDkPUP\">Amazon<\/a><\/strong>&nbsp;or download PDF from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/mathematics-for-machine-learning-marc-peter-deisenroth-e200811255.html\">here.<\/a><\/strong><br><br><strong>6.&nbsp;<a href=\"https:\/\/amzn.to\/32Xq99T\">Linear Algebra and Optimization for Machine Learning<\/a><\/strong>&nbsp;by<br>Charu C. Aggarwal<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/32Xq99T\">Amazon<\/a>&nbsp;<\/strong>or check the table of content from&nbsp;<strong><a href=\"http:\/\/www.charuaggarwal.net\/Linear-Algebra-And-Optimization.pdf\">here.<\/a><\/strong><\/td><\/tr><tr><td><strong>3. Machine Learning Algorithms<\/strong><\/td><td><strong>1.&nbsp;<\/strong><a href=\"https:\/\/amzn.to\/2UGatU6\"><strong>Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow<\/strong><\/a>&nbsp;by Aur\u00e9lien G\u00e9ron<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/2UGatU6\">Amazon<\/a><\/strong>&nbsp;or download from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/hands-on-machine-learning-with-scikit-learn-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems-e168440497.html\">here.<\/a><\/strong><br><br><strong>2.&nbsp;<a href=\"https:\/\/amzn.to\/3kMtFKt\">The Hundred-Page Machine Learning Book<\/a>&nbsp;<\/strong>by Andriy Burkov&nbsp;<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/3kMtFKt\">Amazon<\/a>&nbsp;<\/strong>or download from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/the-hundred-page-machine-learning-book-e187776744.html\">here.<\/a><\/strong><br><br><strong>3.&nbsp;<a href=\"https:\/\/amzn.to\/2UFK8FJ\">Machine Learning For Absolute Beginners&nbsp;<\/a><\/strong>by &nbsp;Oliver Theobald<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/2UFK8FJ\">Amazon<\/a><\/strong>&nbsp;or download from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/machine-learning-for-absolute-beginners-e188007429.html\">here.<\/a><\/strong><br><br><strong>4.&nbsp;<a href=\"https:\/\/amzn.to\/3kI1lsv\">Machine Learning: An Applied Mathematics Introduction<\/a><\/strong>&nbsp;by Paul Wilmott<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/3kI1lsv\">Amazon<\/a><\/strong><\/td><\/tr><tr><td><strong>4. TensorFlow<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/amzn.to\/2INOFmW\">TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers<\/a><\/strong>&nbsp;by Pete Warden<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/2INOFmW\">Amazon<\/a><\/strong><br><br><strong>2.&nbsp;<\/strong><a href=\"https:\/\/amzn.to\/38ToXIA\"><strong>Adopting TensorFlow for Real-World AI<\/strong>&nbsp;<\/a>by Mr. Naresh R. Jasotani<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/38ToXIA\">Amazon<\/a><\/strong><br><br><strong>3.&nbsp;<a href=\"https:\/\/amzn.to\/38XFqeO\">Advanced Deep Learning with TensorFlow 2 and Keras<\/a><\/strong>&nbsp;by Rowel Atienza<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/38XFqeO\">Amazon<\/a><\/strong><\/td><\/tr><tr><td><strong>5. Deep Learning<\/strong><\/td><td><strong>1.&nbsp;<\/strong><a class=\"\" href=\"https:\/\/amzn.to\/2ZyZhwd\"><strong>Deep Learning (Adaptive Computation and Machine Learning series)<\/strong><\/a>&nbsp;by &nbsp;Ian Goodfellow<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/2ZyZhwd\">Amazon<\/a><\/strong>&nbsp;or download from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/deep-learning-adaptive-computation-and-machine-learning-e176370174.html\">here.<\/a><\/strong><br><br><strong>2.&nbsp;<\/strong><a class=\"\" href=\"https:\/\/amzn.to\/36szkzV\"><strong>Deep Learning with Python<\/strong><\/a>&nbsp;by Francois Chollet<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/36szkzV\">Amazon<\/a><\/strong>&nbsp;or download from&nbsp;<strong><a href=\"https:\/\/www.pdfdrive.com\/deep-learning-with-python-e54511249.html\">here.<\/a><\/strong><br><br><strong>3.&nbsp;<\/strong><a class=\"\" href=\"https:\/\/amzn.to\/3d7MaWI\"><strong>Neural Networks and Deep Learning<\/strong><\/a>&nbsp;by Charu C. Aggarwal&nbsp;<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/3d7MaWI\">Amazon<\/a><\/strong>&nbsp;or download from&nbsp;<a href=\"https:\/\/www.pdfdrive.com\/neural-networks-and-deep-learning-a-textbook-e184020999.html\"><strong>here.<\/strong>&nbsp;<\/a><br><br><strong>4.&nbsp;<\/strong><a class=\"\" href=\"https:\/\/amzn.to\/3ehXnnO\"><strong>Deep Learning: A Practitioner\u2019s Approach<\/strong>&nbsp;<\/a>by Adam Gibson and Josh Patterson\u2019s<br>Buy on&nbsp;<strong><a href=\"https:\/\/amzn.to\/3ehXnnO\">Amazon<\/a><\/strong>&nbsp;or download from&nbsp;<a href=\"https:\/\/www.pdfdrive.com\/deep-learning-e48139478.html\"><strong>here.<\/strong>&nbsp;<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Tutorials<\/strong><\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th><strong>Topics<\/strong><\/th><th><strong>Tutorials<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>1. Programming Language (Python &amp; R)<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/docs.python.org\/3\/tutorial\/index.html\">The Python Tutorial (PYTHON.ORG)<\/a><\/strong><br><strong>2.&nbsp;<\/strong><a href=\"https:\/\/www.sololearn.com\/Course\/Python\/\"><strong>Python 3 Tutorial (SOLOLEARN)<\/strong><\/a><br><strong>3.&nbsp;<a href=\"https:\/\/www.mltut.com\/python-tutorial\/\">Python Tutorial- MLTUT<\/a><\/strong><br><strong>4.&nbsp;<a href=\"https:\/\/www.learnpython.org\/\">LEARNPYTHON.ORG<\/a><\/strong><br><strong>5.&nbsp;<a href=\"https:\/\/developers.google.com\/edu\/python\">Google\u2019s Python Class<\/a><\/strong><br><strong>6.&nbsp;<a href=\"https:\/\/www.afterhoursprogramming.com\/tutorial\/python\/python-overview\/\">Python Tutorial (AFTER HOURS PROGRAMMING)<\/a><\/strong><br><strong>7.&nbsp;<a href=\"https:\/\/www.tutorialspoint.com\/python\/\">Python Tutorial-<\/a>&nbsp;<a href=\"https:\/\/www.tutorialspoint.com\/python\/\" target=\"_blank\" rel=\"noreferrer noopener\">Tutorials Point<\/a><\/strong><br><strong>8.&nbsp;<\/strong><a href=\"https:\/\/www.w3schools.com\/python\/\"><strong>Python&nbsp;Tutorial<\/strong>\u2013<\/a>&nbsp;<a href=\"https:\/\/www.w3schools.com\/python\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>W3Schools<\/strong><\/a><br><strong>9.&nbsp;<a href=\"https:\/\/www.tutorialspoint.com\/r\/index.htm\">R Tutorial-&nbsp;Tutorials Point<\/a><\/strong><br><strong>10.&nbsp;<a href=\"https:\/\/www.statmethods.net\/r-tutorial\/index.html\">R Tutorial- Statmethods<\/a><\/strong><\/td><\/tr><tr><td><strong>2. Mathematics<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/www.khanacademy.org\/math\/statistics-probability\">Statistics and probability<\/a>\u2013 Khan Academy<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/www.khanacademy.org\/math\/statistics-probability\/probability-library\">Probability<\/a><\/strong>&nbsp;<strong>on Khan Academy<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/www.tutorialspoint.com\/statistics\/probability.htm\">Statistics \u2013 Probability<\/a><\/strong>&nbsp;<strong>(TutorialsPoint)<\/strong><br><strong>4.&nbsp;<a href=\"https:\/\/stattrek.com\/tutorials\/probability-tutorial.aspx\">Probability Tutorial<\/a><\/strong>&nbsp;<strong>(Stat Trek)<\/strong><br><strong>5.&nbsp;<\/strong><a href=\"https:\/\/www.mathsisfun.com\/data\/\"><strong>Probability and Statistics<\/strong>&nbsp;<\/a><strong>(MathisFun)<\/strong><br><strong>6.&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Probability_theory\">Probability theory<\/a>&nbsp;(Wikipedia)<\/strong><\/td><\/tr><tr><td><strong>3. Machine Learning Algorithms<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/www.tutorialspoint.com\/machine_learning_with_python\/index.htm\">Machine Learning with Python Tutorial-&nbsp;<\/a>Tutorials Point<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/www.mltut.com\/machine-learning\/\">Machine Learning Basics<\/a>\u2013 MLTUT<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/www.javatpoint.com\/machine-learning\">Machine Learning Tutorial-<\/a>&nbsp;Javatpoint<\/strong><br><strong>4.&nbsp;<a href=\"https:\/\/www.geeksforgeeks.org\/machine-learning\/\">Machine Learning<\/a><\/strong>\u2013&nbsp;<strong>GeeksforGeeks<\/strong><\/td><\/tr><tr><td><strong>4. TensorFlow<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/www.tensorflow.org\/tutorials\">TensorFlow Core<\/a><\/strong>\u2013&nbsp;<strong>TensorFlow org<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/www.tutorialspoint.com\/tensorflow\/index.htm\">TensorFlow Tutorial-<\/a><\/strong>&nbsp;<strong>Tutorials Point<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/pythonprogramming.net\/tensorflow-introduction-machine-learning-tutorial\/\">Introduction to Deep Learning with TensorFlow<\/a><\/strong>\u2013&nbsp;<strong>PythonProgramming<\/strong><\/td><\/tr><tr><td><strong>5. Deep Learning<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/www.mltut.com\/deep-learning\/\">Deep Learning Basics<\/a>\u2013 MLTUT<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/www.tutorialspoint.com\/python_deep_learning\/index.htm\">Python Deep Learning Tutorial-&nbsp;<\/a>Tutorials Point<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/www.javatpoint.com\/deep-learning\">Deep Learning Tutorial<\/a><\/strong>\u2013&nbsp;<strong>Javatpoint<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>YouTube Videos<\/strong><\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th><strong>Topics<\/strong><\/th><th><strong>YouTube Videos<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>1. Programming Languages (Python &amp; R)<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/www.youtube.com\/channel\/UCxX9wt5FWQUAAz4UrysqK9A\">CS DOJO<\/a><\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/www.youtube.com\/watch?v=_uQrJ0TkZlc&amp;t=17s\">Programming with Mosh<\/a><\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/youtu.be\/QXeEoD0pB3E\">Telusko<\/a><\/strong><br><strong>4.&nbsp;<a href=\"https:\/\/www.youtube.com\/c\/CleverProgrammer\/playlists\">Clever Programmer<\/a><\/strong><br><strong>5.&nbsp;<a href=\"https:\/\/youtu.be\/YYXdXT2l-Gg\">Corey Schafer<\/a><\/strong><br><strong>6.&nbsp;<a href=\"https:\/\/youtu.be\/_V8eKsto3Ug\">R Programming Tutorial<\/a><\/strong>\u2013&nbsp;<strong>freeCodeCamp.org<\/strong><br><strong>7.&nbsp;<a href=\"https:\/\/youtu.be\/KlsYCECWEWE\">R Programming Full Course<\/a><\/strong>\u2013&nbsp;<strong>Simplilearn<\/strong><\/td><\/tr><tr><td><strong>2. Mathematics<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/youtu.be\/Vfo5le26IhY\">Statistics for Data Science<\/a><\/strong>\u2013&nbsp;<strong>Great Learning<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/youtu.be\/1VSZtNYMntM\">Mathematics for Machine Learning [Full Course]<\/a><\/strong>\u2013&nbsp;<strong>Edureka<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/youtu.be\/iyxqcS1u5go\">Mathematics For Machine Learning-<\/a><\/strong>&nbsp;<strong>Simplilearn<\/strong><br><strong>4.&nbsp;<a href=\"https:\/\/youtu.be\/tVQZvJwi-ec\">Mathematics for Machine Learning<\/a><\/strong>\u2013&nbsp;<strong>My CS<\/strong><\/td><\/tr><tr><td><strong>3. Machine Learning Algorithms<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/youtu.be\/RnFGwxJwx-0\">Machine Learning with Python<\/a><\/strong>\u2013&nbsp;<strong>Great Learning<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/youtu.be\/gmvvaobm7eQ\">Machine Learning Tutorial Python<\/a><\/strong>\u2013&nbsp;<strong>codebasics<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/youtu.be\/7eh4d6sabA0\">Python Machine Learning Tutorial-&nbsp;<\/a>Programming with Mosh<\/strong><br><strong>4.&nbsp;<a href=\"https:\/\/www.youtube.com\/playlist?list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe\">Machine Learning<\/a>&nbsp;by Krish Naik<\/strong><\/td><\/tr><tr><td><strong>4. TensorFlow<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/youtu.be\/tPYj3fFJGjk\">TensorFlow 2.0 Complete Course<\/a><\/strong>\u2013&nbsp;<strong>freeCodeCamp.org<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/youtu.be\/5Ym-dOS9ssA\">TensorFlow Tutorial-<\/a><\/strong>&nbsp;<strong>Aladdin Persson<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/www.youtube.com\/playlist?list=PLQY2H8rRoyvwLbzbnKJ59NkZvQAW9wLbx\">Coding TensorFlow<\/a><\/strong>\u2013&nbsp;<strong>TensorFlow<\/strong><\/td><\/tr><tr><td><strong>5. Deep Learning<\/strong><\/td><td><strong>1.&nbsp;<a href=\"https:\/\/www.youtube.com\/playlist?list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi\">Complete Deep Learning<\/a><\/strong>\u2013<strong>Krish Naik<\/strong><br><strong>2.&nbsp;<a href=\"https:\/\/www.youtube.com\/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO\">Deep Learning With Tensorflow 2.0, Keras and Python<\/a>\u2013<\/strong>&nbsp;<strong>codebasics<\/strong><br><strong>3.&nbsp;<a href=\"https:\/\/youtu.be\/JMxbypF825w\">Deep learning Tutorial<\/a><\/strong>\u2013&nbsp;<strong>Great Learning<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>And here the list ends. I hope these resources will help you to learn and master machine learning. I would suggest you bookmark this article for future referrals.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What does Machine Learning Engineer do?<\/strong><\/h3>\n\n\n\n<p>Machine Learning work with the following steps-<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Data Collection.<\/li>\n\n\n\n<li>Data Preprocessing.<\/li>\n\n\n\n<li>Choose a&nbsp;<strong><a href=\"https:\/\/www.mltut.com\/best-online-courses-on-machine-learning-you-must-know\/\">Machine Learning Algorithm<\/a><\/strong>.<\/li>\n\n\n\n<li>Training the Model.<\/li>\n\n\n\n<li>Testing the Model.<\/li>\n\n\n\n<li>Tuning the Model.<\/li>\n<\/ol>\n\n\n\n<p>So, as a machine learning engineer, you have to perform all these steps.<\/p>\n\n\n\n<p>Machine Learning Engineers create a&nbsp;<strong><a href=\"https:\/\/www.mltut.com\/best-online-courses-on-machine-learning-you-must-know\/\">Machine Learning<\/a><\/strong>&nbsp;model that can work properly with the best performance. Machine Learning Engineers have to choose the right algorithms as per model compatibility and requirement.<\/p>\n\n\n\n<p>They have to extract ideas from the data science team, choose appropriate tools and ecosystems, Use machine Learning frameworks, and stay up to date with the latest development.<\/p>\n\n\n\n<p>Now, let\u2019s see the Roles and Responsibilities of Machine Learning Engineers-<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Roles and Responsibilities of Machine Learning Engineer<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Study and convert Data Science Prototypes.<\/li>\n\n\n\n<li>Build&nbsp;<a href=\"https:\/\/www.mltut.com\/best-online-courses-on-machine-learning-you-must-know\/\"><strong>Machine Learning<\/strong><\/a>&nbsp;models.<\/li>\n\n\n\n<li>Research and apply appropriate Machine Learning tools and algorithms.<\/li>\n\n\n\n<li>Build a Machine Learning application based on industry requirements.<\/li>\n\n\n\n<li>Choose correct datasets and data visualization methods.<\/li>\n\n\n\n<li>Conduct Machine Learning tests and experiments.<\/li>\n\n\n\n<li>Execute Statistical Analysis and fine-tuning with the help of test results. (Statistical Analysis is a small part of ML Engineers whereas it\u2019s a major job part of Data Analyst).<\/li>\n\n\n\n<li>Train and Retrain the model based on model accuracy.<\/li>\n\n\n\n<li>Stay updated with the latest development in the field.<\/li>\n<\/ul>\n\n\n\n<p>So, these are the Roles and responsibilities of the&nbsp;<strong>Machine Learning Engineer<\/strong>.<\/p>\n\n\n\n<p>Now it\u2019s time to wrap up this article \u201c<strong>Best Resources to Learn Machine Learning Online<\/strong>\u201c.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h3>\n\n\n\n<p>In this article, I tried to cover&nbsp;all the&nbsp;<strong>Best Resources to Learn Machine Learning Online<\/strong>&nbsp;from<strong>&nbsp;online courses to YouTube videos<\/strong>. If you have any doubts or questions, feel free to ask me in the comment section.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine Learning is very powerful and popular. Many people are shifting their careers into the Machine learning field. But when it comes to learning machine learning, most of us are&#8230; <a class=\"read-more-link\" href=\"https:\/\/tbekk.com\/devstream\/2024\/03\/11\/109-best-resources-to-learn-machine-learning-online-in-2024\/\">Read more &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[181,19],"tags":[338,337,336],"class_list":["post-906","post","type-post","status-publish","format-standard","hentry","category-ai-2","category-ml","tag-learn","tag-online","tag-resources"],"_links":{"self":[{"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/posts\/906","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/comments?post=906"}],"version-history":[{"count":2,"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/posts\/906\/revisions"}],"predecessor-version":[{"id":908,"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/posts\/906\/revisions\/908"}],"wp:attachment":[{"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/media?parent=906"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/categories?post=906"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tbekk.com\/devstream\/wp-json\/wp\/v2\/tags?post=906"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}