De Gruyter The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond (De Gruyter Textbook)

Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

Technics Publications

Introduction to Machine Learning with Python

Advances in Machine Learning for Big Data Analysis: 218 (Intelligent Systems Reference Library, 218)

Springer

Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Cambridge University Press

Meta-Learning in Computational Intelligence: 358

Springer

Innovations in Machine Learning: Theory and Applications: 194 (Studies in Fuzziness and Soft Computing, 194)

Springer

Personalized Machine Learning

Cambridge University Press

Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

CRC Press

An Introduction to Machine Learning

Springer

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python

Wiley

Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski: 262 (Studies in Computational Intelligence, 262)

Springer

Model-Based Machine Learning

Chapman and Hall/CRC

Advances in Machine Learning/Deep Learning-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2: 23 (Learning and Analytics in Intelligent Systems, 23)

Springer

Machine Learning: ECML-95: 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings: 912 (Lecture Notes in Computer Science, 912)

Springer

Machine Learning With Python: Theory And Applications

World Scientific Publishing Company

The Little Learner: A Straight Line to Deep Learning

MIT Press

Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019): 896 (Studies in Computational Intelligence, 896)

Springer

International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020): Emerging Applications and Technologies for Industry ... (Lecture Notes in Networks and Systems, 254)

Springer

Applied Machine Learning

Springer

Linear Algebra and Optimization for Machine Learning: A Textbook

Springer

Machine Learning with Python Cookbook: Practical solutions from preprocessing to deep learning

O'Reilly

Shipping Machine Learning Systems: A Practical Guide to Building, Deploying, and Scaling in Production

Cambridge University Press

Kernel Methods and Machine Learning

Cambridge University Press

Meta-Learning in Decision Tree Induction: 498 (Studies in Computational Intelligence, 498)

Springer