Machine Learning: a Concise Introduction

Machine Learning for Business Analytics Concepts, Techniques and Applications with JMP Pro

Machine Learning : Proceedings of the Eleventh International Conference

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

Recurrent Neural Networks for Prediction Learning Algorithms, Architectures and Stability

Fundamentals of Machine Learning

An Introduction to Pattern Recognition and Machine Learning (Hardcover)

Combining Pattern Classifiers Methods and Algorithms

Combining Pattern Classifiers Methods and Algorithms

Boosting Foundations and Algorithms

Statistical Pattern Recognition

Machine Learning for Business Analytics Concepts, Techniques and Applications in RapidMiner

Introduction to Computer Theory

Understanding Machine Learning: From Theory to Algorithms

A Textbook of Data Structures and Algorithms, Volu

Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (Learn AI & Python for Beginners)

Machine Learning and Big Data With Kdb+/Q

Handbook of Machine and Computer Vision The Guide for Developers and Users

Machine Learning and Cognitive Computing for Mobil

Machine Learning: Algorithms and Applications

A Guide to Understanding and Building Artificial Neural Networks in Python

Google Cloud Certified Professional Machine Learning Engineer Study Guide

Kernel Adaptive Filtering A Comprehensive Introduction

Machine Learning and its Applications (Hardcover)

Handbook of Machine and Computer Vision The Guide for Developers and Users

Markov Decision Processes

Knowledge Discovery With Support Vector Machines

Machine Learning Applications

Controller's Guide

Understanding Neural Networks and Fuzzy Logic Basic Concepts and Applications

Machine Learning for Time Series Forecasting with Python

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

Learning to Program with Visual Basic, 2nd Edition

Computational Learning and Probabilistic Reasoning

Mathematical Statistics and Stochastic Processes

Machine Learning For Absolute Beginners: A Plain English Introduction (Learn AI & Python for Beginners)

Essential Algorithms A Practical Approach to Computer Algorithms Using Python and C#

Machine Learning: Advanced Techniques and Emerging Applications (Hardcover)

Machine Learning with R

Machine Learning for Healthcare Applications

Machine Learning Algorithms: Handbook (Paperback)

Machine Learning

Machine Learning: Hands-on for Developers and Technical Professionals

Designing Machine Learning Systems

Handbook of Research on Machine Learning: Foundations and Applications (Paperback)

Machine Learning: A Constraint-Based Approach (Paperback)

Machine Learning for Signal Processing Data Science, Algorithms, and Computational Statistics

Machine Learning (Hardcover)

Pre-Owned Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R (Paperback)