O'Reilly Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems

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

Apress

Principles and Labs for Deep Learning

Academic Press

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

Authorhouse

Practical Deep Learning with Python: A Hands-On Introduction: A Python-Based Introduction

No Starch Press

Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

Apress

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

Apress

Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models

Packt Publishing

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Deep Learning for Computer Architects (Synthesis Lectures on Computer Architecture)

Springer

Introduction to Machine Learning with Python: A Guide for Data Scientists

O'Reilly

Machine Learning for Engineers: Using data to solve problems for physical systems

Springer

Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation

Packt Publishing

Applied Machine Learning Using mlr3 in R

Chapman and Hall/CRC

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

O'Reilly

Practical Deep Learning, 2nd Edition: A Python-Based Introduction

No Starch Press