notes/science/ml/docs/presentations.txt
Ihar Hancharenka 5dff80e88e first
2023-03-27 16:52:17 +03:00

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JoshStarmer - ML (42 videos)
https://www.youtube.com/playlist?list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF
2018
Meijer - Machine Learning: Alchemy for the Modern Computer Scientist
https://www.youtube.com/watch?v=Rs0uRQJdIcg
https://portal.klewel.com/watch/webcast/epfl-ic-research-day-2018/talk/29/
! need to look
Kite - Python - Data Analysis and ML
https://www.youtube.com/playlist?list=PLO_jkkJQGPa78IgBgZhgkQ0e0qmImAe-y
Simplelearn - Machine Learning Tutorial Videos
https://www.youtube.com/playlist?list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy
Simplelearn - Machine Learning Algorithms
https://www.youtube.com/playlist?list=PLEiEAq2VkUULNa6MHQAZSOBxzB6HHFXj4
Simplelearn - Data Science Tutorial Videos
https://www.youtube.com/playlist?list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6
2017
Podpolyaka - ML 101 ru
https://www.youtube.com/watch?v=RtgpPMZu_TY
Nvidia - How to become a Data Scientist
https://www.youtube.com/watch?v=IkAX8fb7vYQ
https://www.asozykin.ru/assets/presentations/nvidia_pavt.pdf
Bunina - ML and Math
https://www.youtube.com/watch?v=3xMU1PaO2yo
2016
Bylygin - Fold NNs
https://www.youtube.com/watch?v=4HSfxFHLTKY
Sapunov - NN architecture intro
https://www.slideshare.net/grigorysapunov/presentations
https://www.slideshare.net/grigorysapunov/highload-2016
https://www.slideshare.net/profyclub_ru/intento-69013506