Machine Learning Books

Explore 141 books tagged Machine Learning, frequently overlapping with Computers, Data Science and Artificial Intelligence. The most-featured authors and publishers for this subject are listed below.

141books tagged

Top authors in Machine Learning

Harvard Business Review Information R. . . Management Association David Brown Conway, Drew Robert Stevens Daniela Rus Computer Programming Academy Jeff Hawkins Ajay Agrawal Nitin Seth

Publishers featuring Machine Learning

CRC Press MIT Press O'Reilly Media, Inc.Packt Publishing CRC Press LLC IGI Global Harvard Business Review Press O'Reilly Taylor & Francis Group O'Reilly Media

Creating with Code A Fun Exploration of Computer-Generated Images and Machine Learning — Weiler
Dimensions of Intelligent Analytics for Smart Digital Health Solutions — Freimut Bodendorf
Understanding Machine Learning From Theory to Algorithms — Shai Shalev-Shwartz
Computational Intelligence Based Solutions for Vision Systems — Varun Bajaj
6G-Enabled IoT and AI for Smart Healthcare Challenges, Impact, and Analysis — Ashish Kumar
Research Anthology on Machine Learning Techniques, Methods, and Applications, VOL 1 — Information R. . . Management Association
Hands-On Data Science for Marketing Improve Your Marketing Strategies with Machine Learning Using Python and R — Yoon Hyup Hwang
Deep Learning for Finance Creating Machine and Deep Learning Models for Trading in Python — Sofien Kaabar
Winning Together A UX Researcher’s Guide to Building Strong Cross-Functional Relationships — Sonal Srivastava
$Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics — Thomas Nield$

Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics — Thomas Nield
Can Artificial Intelligence Help Improve Air Force Talent Management? An Exploratory Application — David Schulker
R Deep Learning Projects Master the Techniques to Design and Develop Neural Network Models in R — Yuxi (Hayden) Liu
Blueprints for Text Analysis Using Python Machine Learning-based Solutions for Common Real World (NLP) Applications — Jens Albrecht
Machine Learning Algorithms Using Scikit and TensorFlow Environments — Puvvadi Baby Maruthi
Cognitive Predictive Maintenance Tools for Brain Diseases Design and Analysis — Shweta Gupta
Handbook of Artificial Intelligence Applications for Industrial Sustainability Concepts and Practical Examples — Vikas Garg
Graphical Models for Machine Learning and Digital Communication — Brendan J. Frey
Applied Computer Vision and Soft Computing with Interpretable AI — Swati V. Shinde
Programming Machine Learning From Coding to Deep Learning — Paolo Perrotta
AI and ML for Coders A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations for Modern Programmers — Andrew Hinton

Machine Learning Books

Top authors in Machine Learning

Publishers featuring Machine Learning

Creating with Code A Fun Exploration of Computer-Generated Images and Machine Learning — Weiler

Dimensions of Intelligent Analytics for Smart Digital Health Solutions — Freimut Bodendorf

Understanding Machine Learning From Theory to Algorithms — Shai Shalev-Shwartz

Computational Intelligence Based Solutions for Vision Systems — Varun Bajaj

6G-Enabled IoT and AI for Smart Healthcare Challenges, Impact, and Analysis — Ashish Kumar

Research Anthology on Machine Learning Techniques, Methods, and Applications, VOL 1 — Information R. . . Management Association

Hands-On Data Science for Marketing Improve Your Marketing Strategies with Machine Learning Using Python and R — Yoon Hyup Hwang

Deep Learning for Finance Creating Machine and Deep Learning Models for Trading in Python — Sofien Kaabar

Winning Together A UX Researcher’s Guide to Building Strong Cross-Functional Relationships — Sonal Srivastava

Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics — Thomas Nield

Can Artificial Intelligence Help Improve Air Force Talent Management? An Exploratory Application — David Schulker

R Deep Learning Projects Master the Techniques to Design and Develop Neural Network Models in R — Yuxi (Hayden) Liu

Blueprints for Text Analysis Using Python Machine Learning-based Solutions for Common Real World (NLP) Applications — Jens Albrecht

Machine Learning Algorithms Using Scikit and TensorFlow Environments — Puvvadi Baby Maruthi

Cognitive Predictive Maintenance Tools for Brain Diseases Design and Analysis — Shweta Gupta

Handbook of Artificial Intelligence Applications for Industrial Sustainability Concepts and Practical Examples — Vikas Garg

Graphical Models for Machine Learning and Digital Communication — Brendan J. Frey

Applied Computer Vision and Soft Computing with Interpretable AI — Swati V. Shinde

Programming Machine Learning From Coding to Deep Learning — Paolo Perrotta

AI and ML for Coders A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations for Modern Programmers — Andrew Hinton