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MACHINE LEARNING. THEORY
- Peter Flach. Machine Learning: The Art and Science of Algorithms that Make Sense of Data.
- Yoshua Bengio et al, Deep Learning.
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PYTHON LANGUAGE
- Mark Lutz. Learning Python. Volume 1, 2.
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DATA ANALYSIS IN PYTHON. PANDAS AND NUMPY LIBRARIES
- Michael Haidt. Studying Pandas
- Wes McKinney. Python for Data Analysis
- J. Vander Plas. Python for Complex Tasks: Data Science and Machine Learning
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MACHINE LEARNING IN PYTHON, SCIKIT-LEARN LIBRARY
- Andreas Müller, Sarah Guido. Introduction to Machine Learning with Python.
- Sebastian Raschka. Python Machine Learning.
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DEEP LEARNING. KERAS, TENSORFLOW, AND PYTORCH LIBRARIES
- François Chollet. Deep Learning with Python.
- Antonio Gulli, Sujit Pal. Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python.
- Aurélien Géron. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow.
- Bharath Ramsundar, Reza Bosagh Zadeh. TensorFlow for Deep Learning.
- Brian McMahan, Delip Rao. Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning.
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COMPUTER VISION
- Jan Erik Solem. Programming Computer Vision with Python.
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DOCKER CONTAINERS
- Adrian Mowat. Using Docker.
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ONLINE COURSES
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A PLATFORM FOR COMPETITIONS AMONG DATA SCIENTISTS