Machine Learning

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions.

Hands-On Machine Learning with Scikit-Learn and TensorFlow
Pattern Recognition and Machine Learning (Information Science and Statistics)
Deep Learning
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
The Hundred-Page Machine Learning Book
Machine Learning: A Probabilistic Perspective
Deep Learning with Python
Python Machine Learning
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Machine Learning (McGraw-Hill International Editions Computer Science Series)
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Information Theory, Inference, and Learning Algorithms
Artificial Intelligence: A Modern Approach
Abhijit Naskar
“ AI is acceptable as a tool in hands, but never as substitute for the hands. ”
― Abhijit Naskar, Hazrat-e Humanity: The Uncultured Polyglot

Amit Ray
“ Mother-infant inter-brain synchrony algorithms of compassionate artificial intelligence and social robots are developed based on brain-to-brain synchrony of gaze, facial expressions and heart rhythms between mother and child. ”
― Amit Ray, Compassionate Artificial Intelligence

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