Machine Learning et Deep Learning - EnseirbMatmeca

Feel free to use this material, but be warned that I do not own all the materials appearing in the pdfs - make sure you reference the authors properly. Also, I would appreciate if you drop me an e-mail.

• 1. Introduction, Nearest Neighbor classifier, Naive Bayesian classifier;
• 2. Support Vector Machines;
• 3. Assignment on SVM;
• 4. Random Forests and AdaBoost,
• 5. Assignment on AdaBoost. Python code.
• 6. Introduction to Deep Learning.
• 7. First assignment on Deep Learning, Python code (for the two parts), Python code for the examples in Keras. Introduction to Keras.