Title: Reinforcement Learning, second edition: An Introduction, Author: Richard S. Sutton
Title: Probabilistic Machine Learning: An Introduction, Author: Kevin P. Murphy
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: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python, Author: Mike X Cohen
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: Designing Large Language Model Applications: A Holistic Approach to LLMs, Author: Suhas Pai
Title: Practical MLOps: Operationalizing Machine Learning Models, Author: Noah Gift
Title: Data Science with Semantic Technologies: Deployment and Exploration, Author: Archana Patel
Title: Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives, Author: Jose C. Principe
Title: Machine Learning in Elixir, Author: Sean Moriarity
Title: Application of Advanced Optimization Techniques for Healthcare Analytics, Author: Mohamed Abdel-Basset
Title: Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications, Author: Ravichander Janapati
Title: Computational Methods of Feature Selection, Author: Huan Liu
Title: Augmented: prAIority to Enhance Human Judgment through Data and AI, Author: Giulio Toscani
Title: Smart Applications of Artificial Intelligence and Big Data, Author: Salwa Belaqziz
Title: WSN and IoT: An Integrated Approach for Smart Applications, Author: Shalli Rani
Title: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning, Author: Daniel Situnayake
Title: Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering, Author: Arun Kumar Rana

Pagination Links