Machine Learning Data Science


Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
Data Mining: Practical Machine Learning Tools and Techniques
Fundamentals of Artificial Neural Networks
Recommender Systems: The Textbook
Scaling up Machine Learning: Parallel and Distributed Approaches
Machine Learning Refined: Foundations, Algorithms, and Applications
Data Mining: The Textbook
Ensemble Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Advanced Algorithms for Neural Networks: A C++ Sourcebook
Fundamentals of Neural Networks: Architectures, Algorithms And Applications
Machine Learning Projects for .NET Developers
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
Fundamentals of Deep Learning: Designing Next-Generation Artificial Intelligence Algorithms
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5)