Pragmatic Bookshelf Machine Learning in Elixir: Learning to Learn with Nx and Axon

A Practical Machine Learning with R: Tutorials and Case Studies

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Packt Publishing

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Apress

Applied Machine Learning Using mlr3 in R

Chapman and Hall/CRC

Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

Packt Publishing

Grokking Machine Learning

Manning Publications

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Authorhouse

Fundamental Mathematical Concepts for Machine Learning in Science

Springer

Applied Machine Learning for Data Science Practitioners

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining

Wiley

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems: 1

Springer

Practical Machine Learning for Data Analysis Using Python

Academic Press

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems: 1

Springer

Designing Machine Learning Systems With Python A Complete Guide - 2020 Edition

5starcooks

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Springer

Fundamental Mathematical Concepts for Machine Learning in Science

Springer

Machine Learning and Systems Engineering: 68 (Lecture Notes in Electrical Engineering, 68)

Springer

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Packt Publishing

Handbook of Research on AI and ML for Intelligent Machines and Systems

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

Wiley

Machine Learning Foundations: Volume 1: Supervised Learning

Addison Wesley

Machine Learning: A Guide to Current Research: 12 (The Springer International Series in Engineering and Computer Science, 12)

Springer

Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch

Apress