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Support Vector Machines are a very popular type of machine learning model used for classification when you have a small dataset. We'll go through when to use them, how they work, and build our own using numpy. This is part of Week 1 of The Math of Intelligence. This is a re-recorded version of a video I just released a day ago (the audio/video quality is better in this one) Code for this video: https://github.com/llSourcell/Classif... Please Subscribe! And like. And comment. that's what keeps me going. Course Syllabus: https://github.com/llSourcell/The_Mat... Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ More Learning resources: https://www.analyticsvidhya.com/blog/... http://www.robots.ox.ac.uk/~az/lectur... http://machinelearningmastery.com/sup... http://www.cs.columbia.edu/~kathy/cs4... http://www.statsoft.com/Textbook/Supp... • 16. Learning: Support Vector Machines And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: / sirajraval Facebook: / sirajology Instagram: / sirajraval Instagram: / sirajraval Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz