AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python By: Hadelin de Ponteves Read more
Machine Learning for Data Streams: with Practical Examples in MOA By: Albert Bifet, Ricard Gavald*, Geoff Holmes, and 1 more Read more
Augmented Intelligence: The Business Power of Human Machine Collaboration By: Judith Hurwitz, Daniel Kirsch, Henry Morris, and 1 more Read more
Handbook of Research on Machine and Deep Learning Applications for Cyber Security By: Padmavathi Ganapathi, D Shanmugapriya Read more
Welding and Cutting Case Studies with Supervised Machine Learning By: S Arungalai Vendan, Rajeev Kamal, Abhinav Karan, and 3 more Read more
Just Enough R!: An Interactive Approach to Machine Learning and Analytics By: Richard J Roiger Read more
Accelerated Optimization for Machine Learning: First Order Algorithms By: Zhouchen Lin, Huan Li, Cong Fang Read more
Cognition and the Creative Machine: Cognitive AI for Creative Problem Solving By: Ana Maria Olte*eanu Read more
Applied Supervised Learning with R: Use machine learning libraries of R to build models that solve business problems and predict future trends By: Karthik Ramasubramanian, Jojo Moolayil Read more
Julia Programming Projects: Learn Julia 1 x by building apps for data analysis, visualization, machine learning, and the web By: Adrian Salceanu Read more
Machine Learning Meets Quantum Physics By: Kristof T Sch*tt, Stefan Chmiela, O Anatole von Lilienfeld, and 3 more Read more
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data By: *eljko Ivezi*, Andrew J Connolly, Jacob T VanderPlas, and 1 more Read more
Practical Machine Learning: A New Look at Anomaly Detection By: Ted Dunning, Ellen Friedman Read more