Machine Learning books

manning.com / catalog / Data Science / Machine Learning
(1)
Quan Nguyen , 2026
Anjali Jain and Philip O'Shaughnessy , 2026
Kim Falk , 2026
(4)
Noah Flynn , 2026
(2)
Rush Shahani , 2026
(9)
Sebastian Raschka , 2026
Pere Martra , 2026
Peter Belcak , 2026
(1)
Nathan Lambert
Foreword by Thomas Wolf
, 2026
Val Andrei Fajardo , 2026
Boni García , 2026
Walid Amamou and Alessandro Negro , 2026
(1)
Jungjun Hur and Younghee Song , 2026
Serj Smorodinsky and Brett Kennedy , 2026
(1)
Taehun Kim , 2026
Amit Bahree and Weehyong Tok , 2026
Jia Huang , 2026
Matteus Tanha , 2026
Matteus Tanha , 2026
Matteus Tanha , 2026
Matteus Tanha , 2026
(1)
Micheal Lanham , 2026
Mark Foudy , 2026
Leemay Nassery , 2026
Suhas Suresha and Dewang Sultania , 2026
Luis G. Serrano , 2026
(2)
Hamza Farooq , 2026
(1)
Engin Bozdag and Stefano Bennati , 2026
(4)
Roberto Infante , 2026
(1)
Wei-Meng Lee , 2025
(2)
Benjamin Tan Wei Hao, Shanoop Padmanabhan, and Varun Mallya , 2026
Satyajit Pattnaik , 2026
Satyajit Pattnaik , 2026
Satyajit Pattnaik , 2026
Satyajit Pattnaik , 2026
Kannupriya Kalra & Pavan Vamsi , 2026
Kannupriya Kalra & Pavan Vamsi , 2026
Kannupriya Kalra & Pavan Vamsi , 2026
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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