Machine Learning books

manning.com / catalog / Data Science / Machine Learning
Doug Hudgeon, Richard Nichol , 2019
(5)
Nicholas Chase , 2019
George-Bogdan Ivanov , 2019
(5)
Hobson Lane, Cole Howard, Hannes Hapke
Foreword by Dr. Arwen Griffioen
, 2019
Nishant Shukla
with Kenneth Fricklas
, 2018
Henrik Brink, Joseph W. Richards, and Mark Fetherolf
Foreword by Beau Cronin
, 2016
Douglas G. McIlwraith, Haralambos Marmanis, and Dmitry Babenko
Foreword by Yike Guo
, 2016
Avi Pfeffer
Foreword by Stuart Russell
, 2016
Sean Owen, Robin Anil, Ted Dunning, and Ellen Friedman , 2011
Satnam Alag , 2008
1 2
Dive into the transformative world of Machine Learning, where cutting-edge algorithms meet practical applications. From fundamental neural networks to advanced deep learning techniques, explore comprehensive resources that cover supervised, unsupervised, and reinforcement learning approaches. Master essential tools like TensorFlow, learn to build and deploy intelligent systems, and discover specialized applications in drug discovery, fraud detection, and anomaly identification. Delve into emerging technologies including Large Language Models (LLMs), transformers, and knowledge graphs, while gaining hands-on experience with computer vision, natural language processing, and automated decision-making systems. Whether you're interested in building chatbots, implementing computer vision solutions, or developing scalable machine learning platforms, find the expertise to turn data into actionable intelligence. For a more detailed breakdown, take a look at the following categories: Computer Vision Distributed Machine Learning Interpretable Machine Learning Knowledge Graphs Machine Learning Algorithms Natural Language Processing Natural Language Processing (NLP) Quantum Computing/Programming