Hands-On Machine Learning With Scikit-Learn, Keras, And Tensorflow: Concepts, Tools, And Techniques To Build Intelligent Systems

Hands-On Machine Learning With Scikit-Learn And Tensorflow: Concepts, Tools, And Techniques To Build Intelligent Systems

The Hundred-Page Machine Learning Book (The Hundred-Page Books)

Machine Learning

Introducing Machine Learning (Developer Reference)

Interpretable Machine Learning: A Guide For Making Black Box Models Explainable

Machine Learning

Mastering Machine Learning: Essential Concepts And Real-World Applications

Machine Learning And Security: Protecting Systems With Data And Algorithms

A Concise Introduction To Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Machine Learning For Absolute Beginners: A Plain English Introduction (Third Edition) (Learn Machine Learning For Beginners)

Machine Learning And Artificial Intelligence

Machine Learning

Machine Learning Pocket Reference: Working With Structured Data In Python

Machine Learning: A Practical Approach On The Statistical Learning Theory

Machine Learning With R: Expert Techniques For Predictive Modeling, 3rd Edition

Machine Learning: A Theoretical Approach

Machine Learning Hero: Master Data Science With Python Essentials: Machine Learning With Python Hands-On Guide From Beginner To Expert (Mastering The

Machine Learning: The Art And Science Of Algorithms That Make Sense Of Data

The Statquest Illustrated Guide To Machine Learning

Introduction To Machine Learning With R: Rigorous Mathematical Analysis

Machine Learning For Imbalanced Data: Tackle Imbalanced Datasets Using Machine Learning And Deep Learning Techniques

The Machine Learning Solutions Architect Handbook: Create Machine Learning Platforms To Run Solutions In An Enterprise Setting

Machine Learning Model Serving Patterns And Best Practices: A Definitive Guide To Deploying, Monitoring, And Providing Accessibility To ML Models In