Title: Probabilistic Machine Learning: An Introduction, Author: Kevin P. Murphy
Title: Building Knowledge Graphs: A Practitioner's Guide, Author: Jesus Barrasa
Title: Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems, Author: Aurélien Géron
Title: Reinforcement Learning, second edition: An Introduction, Author: Richard S. Sutton
Title: Toward Human-Level Artificial Intelligence: How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI, Author: Eitan Michael Azoff
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics, Author: George Mount
Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Author: Aurélien Géron
Title: Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems: Defense, Biomedical, Infrastructure, and Transportation, Author: D. Jeya Mala
Title: MACHINE LEARNING IN PURE MATHEMATICS AND THEORETICAL PHYSICS, Author: Yang-Hui He
Title: Machine Learning and its Applications, Author: Peter Wlodarczak
Title: Data Science on AWS, Author: Chris Fregly
Title: Machine Learning and IoT Applications for Health Informatics, Author: Pijush Samui
Title: MACHINE LEARNING - A JOURNEY TO DEEP LEARNING: with Exercises and Answers, Author: Andreas Miroslaus Wichert
Title: Brain and Perception: Holonomy and Structure in Figural Processing, Author: Karl H. Pribram
Title: Cognitive and Neural Modelling for Visual Information Representation and Memorization, Author: Limiao Deng
Title: Outlier Detection in Python, Author: Brett Kennedy
Title: Algorithms for Decision Making, Author: Mykel J. Kochenderfer
Title: SMART Integrated Circuit Design and Methodology, Author: Thomas Noulis
Title: Artificial Intelligence and Machine Learning for Sustainable Development: Innovations, Challenges, and Applications, Author: Pawan Whig

Pagination Links