Machine Learning (McGraw-Hill International Editions Computer Science Series)

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

• What Hedge Funds Really Do: An Introduction to Portfolio Management
• Python for Finance: Analyze Big Financial Data
• Pattern Recognition and Machine Learning (Information Science and Statistics)
• Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning)
• Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
• Artificial Intelligence: A Modern Approach
• Deep Learning (Adaptive Computation and Machine Learning)
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
• Programming Collective Intelligence: Building Smart Web 2.0 Applications
• Pattern Classification