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)
Machine Learning: A Probabilistic Perspective
The Hundred-Page Machine Learning Book
Deep Learning with Python
Python Machine Learning
Machine Learning (McGraw-Hill International Editions Computer Science Series)
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Information Theory, Inference, and Learning Algorithms
Artificial Intelligence: A Modern Approach
James Rickards
AI creates its own fog. The more sophisticated the algorithms, the less developers and engineers understand how the output emerges.
James Rickards, MoneyGPT: AI and the Threat to the Global Economy

Amit Ray
Artificial intelligence is defined as the branch of science and technology that is concerned with the study of software and hardware to provide machines with the ability to learn insights from data and the environment, and the ability to adapt to changing situations with increasing precision, accuracy, and speed.
Amit Ray, Compassionate Artificial Superintelligence AI 5.0

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