🐾Get understanding of Machine learning in interactive way🐾

Machine Learning University - Explain is an education initiative from Amazon, designed to explain machine learning concepts in visual and interactive way. Topics covered for now:

🎬  Train, test and validation sets - https://mlu-explain.github.io/train-test-validation/

🎬  Linear regression - https://mlu-explain.github.io/linear-regression/

🎬  Logistic regression - https://mlu-explain.github.io/logistic-regression/

🎬  Decision trees - https://mlu-explain.github.io/decision-tree/

🎬  Random forest - https://mlu-explain.github.io/random-forest/

🎬  Reinforcement learning - https://mlu-explain.github.io/reinforcement-learning/

🎬  Neural Networks - https://mlu-explain.github.io/neural-networks/

🎬  The bias variance tradeoff - https://mlu-explain.github.io/bias-variance/

🎬  Precision & recall - https://mlu-explain.github.io/precision-recall/

🎬  ROC & AUC - https://mlu-explain.github.io/roc-auc/

🎬  Double descent: visual and mathematical explanations

🎬  Cross-validation - https://mlu-explain.github.io/cross-validation/

🎬 Equality of odds - https://mlu-explain.github.io/equality-of-odds/

---

If you like this post, you can share APAWS newsletter with friends: