An Introduction to Machine Learning

Download free course An Introduction to Machine Learning, pdf file on 348 pages by by Miroslav Kubat.

This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction as well as Inductive Logic Programming. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.

Table of contents

Pages :	348
Size :	4.7 MB
File type :	PDF
Downloads:	109
Created:	2022-02-01
License:	CC BY
Author(s):	by Miroslav Kubat

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233

Others machine learning Tutorials

Machine Learning: The Complete Guide

Automated Machine Learning

Machine Learning Yearning

The Hundred-Page Machine Learning Book

Python Machine Learning Projects

Others related eBooks about An Introduction to Machine Learning

Free Algorithms eBook

Download free Algorithm tutorial course in PDF, training file in 65 chapters and 327 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

Python for You and Me

This is a simple book to learn Python programming language, it is for the programmers who are new to Python....

Structured programming with C++

This C ++ course is for beginners who have never programmed. Complet and free PDF document about C++ programming....

Professor Frisby's Mostly Adequate Guide to Functional Programming

This is a book on the functional paradigm in general. We'll use the world's most popular f..., download free Functional Programming tutorial in PDF (146 pages) created by Brian Lonsdorf ....

Elementary Algorithms

Download free course Elementary Algorithms, pdf file on 642 pages by Larry LIU Xinyu....

Think Python: An Introduction to Software Design

Python for Software Design is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like r...

Microsoft Platform and Tools for Mobile App Development

Understanding and creating a mobile app development strategy is an important process for t..., download free Microsoft Platform and Tools for Mobile App Development tutorial in PDF (150 pages) created by Simon Calvert ....

Invent Your Own Computer Games with Python

Invent Your Own Computer Games with Python teaches you how to program in the Python langua..., download free Game Development tutorial in PDF (367 pages) created by ....

Getting started with Hibernate

Download free Hibernate tutorial course in PDF, training file in 14 chapters and 39 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

Pro TBB: C++ Parallel Programming with Threading Building Blocks

This book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approacha...