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Let's detect the intruder trying to break into our security system using a very popular ML technique called K-Means Clustering! This is an example of learning from data that has no labels (unsupervised) and we'll use some concepts that we've already learned about like computing the Euclidean distance and a loss function to do this. Code for this video: https://github.com/llSourcell/k_means... Please Subscribe! And like. And comment. That's what keeps me going. More learning resources: http://www.kdnuggets.com/2016/12/data... http://opencv-python-tutroals.readthe... http://people.revoledu.com/kardi/tuto... https://home.deib.polimi.it/matteucc/... http://mnemstudio.org/clustering-k-me... https://www.dezyre.com/data-science-i... http://scikit-learn.org/stable/tutori... Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ 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