Video explainers, demonstrations, and lessons.
Please check out the introduction video playlist on youtube to all lectures. It will give you an idea about what is being taught in the course and help you decide whether you…
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.…
Stanford Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017). https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
Very good free YouTube tutorials on Linear algebra - matrices, vectors, eigenvectors, etc. Essence of linear algebra. A geometric understanding of matrices, determinants, eigen-stuffs and more. Home page: https://www.3blue1brown.com/ https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Machine Learning A-Z™: Hands-On Python & R In Data Science Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. Created by Kirill Eremenko, Hadelin…
