The latest articles on DEV Community by Ashad (@ashad). https://dev.to/ashad https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F906514%2F1c6d2437-c0b6-4c3d-b42b-67c0a20cb140.png https://dev.to/ashad en Ashad Thu, 15 Dec 2022 18:39:29 +0000 https://dev.to/ashad/machine-learning-roadmap-5hmn https://dev.to/ashad/machine-learning-roadmap-5hmn <p>In this article, I'll share some courses and recourses that you can follow to start your machine learning journey.<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>The First Step </code></pre> </div> <p>The very first that you can take is start with learning a programming language; most of you would think of python and yes you are right!</p> machinelearning datascience beginners computerscience Ashad Fri, 26 Aug 2022 18:02:00 +0000 https://dev.to/ashad/machine-learning-resources-52ci https://dev.to/ashad/machine-learning-resources-52ci <p>In this article, I'll share some courses and resources that you can follow to start your machine learning journey.</p> <p>Other Detailed Roadmaps you can refer as well:</p> <ul> <li><a href="https://dev.to/ahmadmustafaan1/beginners-learning-path-for-machine-learning-50ka">Beginners Learning Path For Machine Learning</a></li> <li><a href="https://dev.to/gabrieleboccarusso/how-i-am-learning-machine-learning-week-0-o7b">How to do ML week by week Roadmap</a></li> </ul> <p><strong>Learn Python</strong></p> <ul> <li><a href="https://www.youtube.com/playlist?list=PLFCB5Dp81iNVoB_eWmDB1nEusSCurrsac">Python Basics</a></li> <li><a href="https://www.youtube.com/watch?v=QUT1VHiLmmI">Numpy</a></li> <li><a href="https://www.youtube.com/watch?v=vmEHCJofslg">Pandas</a></li> <li><a href="https://www.youtube.com/watch?v=3Xc3CA655Y4&amp;t=68s">Matplotlib</a></li> <li><a href="https://youtu.be/LHBE6Q9XlzI">Python in 12 Hours</a></li> <li> <a href="https://www.udemy.com/course/python-complete-bootcamp-2019-learn-by-applying-knowledge/learn/lecture/15770046?start=0">Python Projects</a> </li> </ul> <p><strong>Mathematics</strong></p> <ul> <li>Linear Algebra (Most Important)</li> <li>Probability and statistics</li> <li>Calculus</li> </ul> <p><strong>Machine Learning</strong></p> <ul> <li> <a href="https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN">Machine Learning -Andrew, Stanford</a> (Watch at least first four lectures if you get bored and think to switch</li> <li><a href="https://www.deeplearning.ai/courses/machine-learning-specialization/">ML specialization -Introductory</a></li> <li>Will get to it later</li> </ul> <p><strong>Websites you should visit</strong></p> <ul> <li><a href="https://www.kaggle.com/">kaggle</a></li> <li><a href="https://www.tensorflow.org/resources/learn-ml?gclid=CjwKCAjw3qGYBhBSEiwAcnTRLuM7VxdcNmgl2ezmRkofEwce1CzTSK_4BOzxrOruH22FN-ojUytI4BoCRS8QAvD_BwE">tensorflow</a></li> <li><a href="https://www.deeplearning.ai/">DeepLearning.ai</a></li> </ul> <p><strong>Git/GitHub</strong></p> <ul> <li><a href="https://www.youtube.com/watch?v=RGOj5yH7evk&amp;t=1557s">Git and GitHub For Beginners</a></li> <li><a href="https://www.youtube.com/watch?v=ecK3EnyGD8o">Tips and tricks</a></li> <li><a href="https://www.youtube.com/watch?v=Uszj_k0DGsg">Ok, so you want to be pro!</a></li> </ul> <p><strong>Projects To Contribute</strong></p> <ul> <li><a href="https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code">500 AI-ML Projects</a></li> </ul> <p><strong>YouTube is your best friend</strong></p> <ul> <li> <a href="https://www.youtube.com/c/3blue1brown">3blue1brown</a> (check essence through graphical representations)</li> <li> <a href="https://www.youtube.com/c/KGMIT">Keith Galli</a> (Python tutorials)</li> <li> <a href="https://www.youtube.com/c/JomaOppa">Joma tech</a> (for fun xD) </li> <li><a href="https://www.youtube.com/user/krishnaik06">Krish naik</a></li> </ul> <p>To Be Continued...</p> machinelearning datascience beginners computerscience