AHamamd150/ML_Course_BUE

This is a crash course in classical and quantum ML at BUE, Egypt # ML crash course at BUE This is a crash course in classical and quantum ML at the 3rd Summer School and Internship Programme at CTP BUE, Egypt. ## Link to You Tube videos: youtube.com Folder `Codes` contains all the python notebook that used to create the matirals in the lectures. Folder `Animation` contains the animation used in the slides and lost when it converted to pdf. The course covers basics of classical and quantum machine learning methods as * `Lecture_1.pdf` Overview about recent classical and quantum machine learning algorithms in HEP. * `Lecture_2.pdf` Introduction to ML, linear and non-linear regression models. * `Lecture_3.pdf` Ensemble learning, decision trees, boosted decision tress and random forest. * `Lecture_4.pdf` Introduction to deep learning and feed forward deep neural network. * `Lecture_5.pdf` Convolution based neural network for image recognition. * `Lecture_6.pdf` Introduction to quantum machine learning, quantum gates, quantum feature map, data encoding and VQCs.