Title: Deep Learning: Foundations and Concepts, Author: Christopher M. Bishop
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: Linear Algebra and Optimization for Machine Learning: A Textbook, Author: Charu C. Aggarwal
Title: Foundations of Computer Vision, Author: Antonio Torralba
Title: Artificial Intelligence in Medicine, Author: Niklas Lidströmer
Title: Essentials of Generative AI, Author: Takeshi Okadome
Title: Deep Generative Modeling, Author: Jakub M. Tomczak
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Introduction to Machine Learning, fourth edition, Author: Ethem Alpaydin
Title: Algorithms for Optimization, Author: Mykel J. Kochenderfer
Title: Foundations of Machine Learning, second edition, Author: Mehryar Mohri
Title: Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment, Author: David R. Martinez
Title: Introduction to AI Safety, Ethics, and Society, Author: Dan Hendrycks
Title: Probabilistic Graphical Models: Principles and Techniques, Author: Daphne Koller
Title: Algorithmic Learning in a Random World, Author: Vladimir Vovk
Title: Introduction to Natural Language Processing, Author: Jacob Eisenstein
Title: An Introduction to Machine Learning, Author: Miroslav Kubat
Title: Tecnomatix Plant Simulation: Modeling and Programming by Means of Examples, Author: Steffen Bangsow
Title: Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition, Author: Zeljko Ivezic
Title: AI for Advanced Manufacturing and Industrial Applications, Author: Bidyut Sarkar

Pagination Links