Book: "Practical Machine Learning with Python" published in 2018 with good content for practical learning by D. Sarkar, R.Bali, T.Sharma
30 Free Courses: Neural Networks, Machine Learning, Algorithms, AI
Rajalingappaa Shanmugamani "Deep Learning for Computer Vision" (2018).
Highly recommend.
#DeepLearning , #Keras , #Tensorflow
Highly recommend.
#DeepLearning , #Keras , #Tensorflow
Cheatsheets for each machine learning field and ultimate complition of concepts from Stanford CS. Updated (2018) and in pdf version
MIT Deep Learning courses list from scholars and video tutorials, lectures series
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The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)
Some important discussion and effective learning method from specialists. I'll highly recommend to read this greate article
Wonderfully interactive, gentle, and well done introduction to probability and statistics. Walk through this with your favorite kid and give them a head-start in life on ML
https://seeing-theory.brown.edu/basic-probability/index.html
https://seeing-theory.brown.edu/basic-probability/index.html
seeing-theory.brown.edu
Basic Probability
This chapter is an introduction to the basic concepts of probability theory.
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