Machine Learning books

manning.com / catalog / Data Science / Machine Learning
Sebastian Raschka and Abhinav Kimothi , 2025
Noah Flynn , 2025
Rush Shahani , 2025
Ashish Ranjan Jha , 2025
Roberto Infante , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
(2)
Vaibhav Verdhan
Foreword by Ravi Gopalakrishnan
, 2025
Daniel Costea , 2025
Fiodar Sazanavets , 2025
Andrew Freed, Cari Jacobs, Eniko Rozsa
Foreword by Jesús Mantas
, 2025
(3)
Alessandro Negro with Vlastimil Kus, Giuseppe Futia and Fabio Montagna , 2025
Marco Peixeiro , 2025
Prema Roman and Patrick Deziel , 2025
Wei-Meng Lee , 2025
Mark Ryan and Luca Massaron
Foreword by Antonio Gulli
, 2025
Hobson Lane and Maria Dyshel , 2025
Vadim Smolyakov , 2024
Benjamin Tan Wei Hao, Shanoop Padmanabhan, and Varun Mallya , 2025
Brett Kennedy , 2024
Ockert du Preez , 2024
Michael Yuan and Tony Yuan , 2024
Michael Yuan and Tony Yuan , 2024
Michael Yuan and Tony Yuan , 2024
Michael Yuan and Tony Yuan , 2024
Pablo Elgueta , 2024
Pablo Elgueta , 2024
Pablo Elgueta , 2024
Pablo Elgueta , 2024
Anuradha Kar , 2024
Anuradha Kar , 2024
Anuradha Kar , 2024
Anuradha Kar , 2024
Anuradha Kar , 2024
Martine Dowden , 2024
Rod Stephens , 2024
Rod Stephens , 2024
1 2 7
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