Springer Machine Learning Crash Course for Engineers

Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications

Machine Learning

Springer

Machine Learning

Springer

Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners

Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)

Springer

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

Springer

Machine Learning: Algorithms and Applications

CRC Press

Machine Learning for Engineers

Cambridge University Press

A Brief Introduction to Machine Learning for Engineers (Foundations and Trends (R) in Signal Processing)

Now Publishers

Machine Learning for Earth Sciences: Using Python to Solve Geological Problems (Springer Textbooks in Earth Sciences, Geography and Environment)

Springer

A Hands-On Introduction to Machine Learning

Introduction to Machine Learning: From Math to Code

Cambridge University Press

Understanding Machine Learning: From Theory to Algorithms

Cambridge University Press

Fundamentals of Machine Learning

Oxford University Press

Springer Applied Deep Learning - Tools and Implementation

Springer

Machine Learning and Artificial Intelligence

Springer

An Introduction to Pattern Recognition and Machine Learning

Springer

Embedded Machine Learning with Microcontrollers: Applications on Arduino Boards

Springer

Machine Learning with Python: Theory and Implementation

Machine Learning: Theory and Practice

CRC Press

Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-Driven Analysis, Explainability, and Causality

Wiley

Fundamentals of Machine Learning and Deep Learning in Medicine

Springer

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia

CRC Press