Learning Algorithms

Learning Algorithms

Machine Learning: Algorithms and Applications

Understanding Machine Learning: From Theory to Algorithms

Information Theory, Inference and Learning Algorithms

Machine Learning Algorithms for Industrial Applications

Evolutionary Machine Learning Techniques: Algorithms and Applications

Machine Learning for Signal Processing Data Science, Algorithms, and C

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics

Recurrent Neural Networks for Prediction Learning Algorithms, Architectures and Stability

A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python

Intelligent Systems: From Theory to Applications: Foundations, Search Algorithms, and Machine Learning

Fundamentals of Machine Learning for Predictive Data Analytics, second edition Algorithms, Worked Examples, and Case Studies

Machine and Deep Learning Using MATLAB Algorithms and Tools for Scientists and Engineers

Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies

Foundations of Machine Learning, second edition

Probabilistic Machine Learning An Introduction

Probabilistic Machine Learning An Introduction

Machine Learning Algorithms: Handbook (Paperback)

Neural Networks and Learning Machines

Boosting Foundations and Algorithms

Probabilistic Machine Learning Advanced Topics

Probabilistic Machine Learning Advanced Topics

Artificial Intelligence A Modern Approach

Learning with Kernels Support Vector Machines, Regularization, Optimization, and Beyond

Introduction to Machine Learning, fourth edition

Machine Learning Algorithms - Second Edition: Popular algorithms for data science and machine learning 2nd Edition (Paperback)

Machine Learning: a Concise Introduction

Machine Learning - Advanced Concepts

Introduction to Computers and Information Technology Student Workbook

Fundamentals of Machine Learning

Probabilistic Machine Learning: An Introduction

Machine Learning a Concise Introduction

Machine Learning for Absolute Beginners: A Plain English Introduction

Machine Learning: A Practical Approach on the Statistical Learning Theory

Machine Learning : Proceedings of the Eleventh International Conference

Machine Learning: Foundations Methodolo Online Machine Learning: A Practical Guide with Examples in Python (Hardcover)

Machine Learning: A Probabilistic Perspective

Bayesian Reasoning and Machine Learning

Machine Learning and Artificial Intelligence: A comprehensive approach

Machine Learning 1990 International Conference: Proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas, June 2

Machine Learning with R

Machine Learning Model Concepts: A Comprehensive Guide (Paperback)

Introduction to Machine Learning With Python

Machine Learning: Advanced Techniques and Emerging Applications (Hardcover)

Machine Learning and Data Mining (Hardcover)

Machine Learning and its Applications (Hardcover)

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Machine Learning: A Constraint-Based Approach (Paperback)