Machine Learning: An Applied Mathematics Introduction

Programming Intelligence: Introduction to Machine Learning with C#

Python Programming : Basics to Machine Learning

Introduction To Mathematical Programming

Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering the AI Revolution)

Machine Learning Fundamentals: Use Python and scikit-learn to get up and running with the hottest developments in machine learning

Machine Learning With Python For Beginners: A Step-By-Step Guide with Hands-On Projects (Learn Coding Fast with Hands-On Project)

Mathematics for Machine Learning Paperback e537

Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python

Machine Learning Engineering

Machine Learning Engineering

Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python

Machine Learning with Python: A Practical Beginners’ Guide: 2 (Learn Machine Learning for Beginners)

Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition

How to Use Machine Learning in Chemistry : An Introduction

A Mathematical Introduction to Data Science

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Machine Learning And Principles And Prac

Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and ... Learning & Data Science for Beginners)

Python Machine Learning By Example: The easiest way to get into machine learning

Hands On Machine Learning With Scikit-le

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography