عنوان

An introduction to machine learning /

(Number (ISBN

3319639137

(Number (ISBN

9783319639130

Erroneous ISBN

3319639129

Erroneous ISBN

9783319639123

Country Code

bnb

Number

b624061

Title Proper

An introduction to machine learning /

General Material Designation

[Book]

First Statement of Responsibility

Miroslav Kubat.

Edition Statement

Second edition.

Specific Material Designation and Extent of Item

1 online resource (xiii, 348 pages) :

Other Physical Details

illustrations

Text of Note

Includes bibliographical references and index.

Text of Note

1 A Simple Machine-Learning Task -- 2 Probabilities: Bayesian Classifiers -- Similarities: Nearest-Neighbor Classifiers -- 4 Inter-Class Boundaries: Linear and Polynomial Classifiers -- 5 Artificial Neural Networks -- 6 Decision Trees -- 7 Computational Learning Theory -- 8 A Few Instructive Applications -- 9 Induction of Voting Assemblies -- 10 Some Practical Aspects to Know About -- 11 Performance Evaluation -- 12 Statistical Significance -- 13 Induction in Multi-Label Domains -- 14 Unsupervised Learning -- 15 Classifiers in the Form of Rulesets -- 16 The Genetic Algorithm -- 17 Reinforcement Learning.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix. 9783319639130

International Standard Book Number

9783319639123

Artificial intelligence.

Big data.

Computational intelligence.

Data mining.

Machine learning.

Artificial intelligence.

Artificial intelligence.

Big data.

Business & Economics-- Industries-- Computer Industry.

Business mathematics & systems.

Computational intelligence.

Computer science.

Computers-- Database Management-- Data Mining.

Computers-- Intelligence (AI) & Semantics.

Data mining.

Data mining.

COM021030

UNF

UNF

UYQE

UYQE

Number

Edition

Class number

Book number

Kubát, Miroslav

Date of Transaction

20201221083213.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

270410

Y