Machine Learning books

manning.com / catalog / Data Science / Machine Learning
Luis G. Serrano , 2025
(2)
Marco Peixeiro , 2025
(1)
Engin Bozdag and Stefano Bennati , 2025
(5)
Alessandro Negro with Vlastimil Kus, Giuseppe Futia and Fabio Montagna
Forewords by Maxime Labonne, Khalifeh AlJadda
, 2025
Leemay Nassery , 2025
(1)
Ashish Ranjan Jha , 2025
(7)
Sebastian Raschka and Abhinav Kimothi , 2025
Abhinav Kimothi , 2025
(2)
Vaibhav Verdhan
Foreword by Ravi Gopalakrishnan
, 2025
(2)
Daniel Costea , 2025
(1)
Andrew Freed, Cari Jacobs, Eniko Rozsa
Foreword by Jesús Mantas
, 2025
(2)
Keita Broadwater and Namid Stillman
Foreword by Matthias Fey
, 2025
(2)
Mark Ryan and Luca Massaron
Foreword by Antonio Gulli
, 2025
(5)
Valerii Babushkin and Arseny Kravchenko , 2025
Hobson Lane and Maria Dyshel , 2025
(2)
Christopher Brousseau and Matthew Sharp
Foreword by Joe Reis
, 2024
Vadim Smolyakov , 2024
Brett Kennedy , 2024
(1)
Tomaž Bratanič
Foreword by Michael Hunger
, 2024
(1)
Meta Brains , 2024
Yuan Tang , 2023
Quan Nguyen
Forewords by Luis Serrano and David Sweet
, 2023
(1)
Micheal Lanham , 2023
(1)
Gautam Kunapuli , 2023
(1)
J. Morris Chang, Di Zhuang, and G. Dumindu Samaraweera , 2023
(5)
Stephan Raaijmakers , 2022
(2)
Ekaterina Kochmar , 2022
(1)
Ajay Thampi , 2022
Qingquan Song, Haifeng Jin, and Xia Hu , 2022
(7)
Ben Wilson , 2022
(13)
Luis G. Serrano
Foreword by Sebastian Thrun
, 2021
(2)
Masato Hagiwara , 2021
(11)
Alexey Grigorev , 2021
(2)
Andrew R. Freed , 2021
(4)
Alessandro Negro , 2021
(8)
Robert (Munro) Monarch , 2021
(3)
Paul Azunre , 2021
1 2 3
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