عنوان

An introduction to machine learning /

شابک

3319639137

شابک

9783319639130

شابک اشتباه

3319639129

شابک اشتباه

9783319639123

کد کشور

bnb

شماره

b624061

عنوان اصلي

An introduction to machine learning /

نام عام مواد

[Book]

نام نخستين پديدآور

Miroslav Kubat.

وضعيت ويراست

Second edition.

نام خاص و کميت اثر

1 online resource (xiii, 348 pages) :

ساير جزييات

illustrations

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix. 9783319639130

شماره استاندارد بين المللي کتاب و موسيقي

9783319639123

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Big data.

موضوع مستند نشده

Computational intelligence.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Big data.

موضوع مستند نشده

Business & Economics-- Industries-- Computer Industry.

موضوع مستند نشده

Business mathematics & systems.

موضوع مستند نشده

Computational intelligence.

موضوع مستند نشده

Computer science.

موضوع مستند نشده

Computers-- Database Management-- Data Mining.

موضوع مستند نشده

Computers-- Intelligence (AI) & Semantics.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

COM021030

موضوع مستند نشده

UNF

موضوع مستند نشده

UNF

موضوع مستند نشده

UYQE

موضوع مستند نشده

UYQE

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Kubát, Miroslav

تاريخ عمليات

20201221083213.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

کد کاربرگه

270410

تكميل شده

Y