A Computational Approach to Statistical Learning (Chapman & Hall/CRC Texts in Statistical Science)

Computer Vision and Image Processing: Fundamentals and Applications

Statistical Learning with Sparsity (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications

Computational Optimal Transport: With Applications to Data Science (Foundations and Trends(r) in Machine Learning)

Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics, 21)

Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems

A First Course in Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

Turing Computability: Theory and Applications (Theory and Applications of Computability)