Machine Intelligence: Learning, Inference, and Evolution
This book will provide an introduction to machine learning, fuzzy systems and evolutionary algorithms for senior undergraduate students at universities and colleges as well as for practitioners. The text intends to cover major schemes, methods and algorithms in different aspects of machine intellige...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oxford
CRC Press
2024
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| Schlagworte: | |
| Zusammenfassung: | This book will provide an introduction to machine learning, fuzzy systems and evolutionary algorithms for senior undergraduate students at universities and colleges as well as for practitioners. The text intends to cover major schemes, methods and algorithms in different aspects of machine intelligence including comprehensive introduction of intelligent techniques for the desired audience. Fuzzy systems, reinforcement learning, evolutionary algorithms and swarm intelligence will be covered along with neural networks, SVM, probability, decision trees and more. This will help to establish the notion that "intelligence" is more than "learning. |
| Beschreibung: | 50 b/w images Introduction. Dealing with Data and Experiments. Classification. Learning. Uncertain and Vague Knowledge. Evolution and Animals. Machine Intelligence and Ethics. Appendices on Fundamentals. |
| Beschreibung: | 450 Seiten 234 mm |
| ISBN: | 9781138196223 |
Internformat
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| 520 | |a This book will provide an introduction to machine learning, fuzzy systems and evolutionary algorithms for senior undergraduate students at universities and colleges as well as for practitioners. The text intends to cover major schemes, methods and algorithms in different aspects of machine intelligence including comprehensive introduction of intelligent techniques for the desired audience. Fuzzy systems, reinforcement learning, evolutionary algorithms and swarm intelligence will be covered along with neural networks, SVM, probability, decision trees and more. This will help to establish the notion that "intelligence" is more than "learning. | ||
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| indexdate | 2024-08-15T00:18:46Z |
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| isbn | 9781138196223 |
| language | English |
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| physical | 450 Seiten 234 mm |
| publishDate | 2024 |
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| publishDateSort | 2024 |
| publisher | CRC Press |
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| spelling | Tizhoosh, Hamid Verfasser aut Machine Intelligence Learning, Inference, and Evolution Oxford CRC Press 2024 450 Seiten 234 mm txt rdacontent n rdamedia nc rdacarrier 50 b/w images Introduction. Dealing with Data and Experiments. Classification. Learning. Uncertain and Vague Knowledge. Evolution and Animals. Machine Intelligence and Ethics. Appendices on Fundamentals. This book will provide an introduction to machine learning, fuzzy systems and evolutionary algorithms for senior undergraduate students at universities and colleges as well as for practitioners. The text intends to cover major schemes, methods and algorithms in different aspects of machine intelligence including comprehensive introduction of intelligent techniques for the desired audience. Fuzzy systems, reinforcement learning, evolutionary algorithms and swarm intelligence will be covered along with neural networks, SVM, probability, decision trees and more. This will help to establish the notion that "intelligence" is more than "learning. bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Automatic control engineering bicssc / Information technology - general issues bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / COMPUTERS / Computer Engineering bisacsh / COMPUTERS / Programming / Games |
| spellingShingle | Tizhoosh, Hamid Machine Intelligence Learning, Inference, and Evolution bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Automatic control engineering bicssc / Information technology - general issues bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / COMPUTERS / Computer Engineering bisacsh / COMPUTERS / Programming / Games |
| title | Machine Intelligence Learning, Inference, and Evolution |
| title_auth | Machine Intelligence Learning, Inference, and Evolution |
| title_exact_search | Machine Intelligence Learning, Inference, and Evolution |
| title_full | Machine Intelligence Learning, Inference, and Evolution |
| title_fullStr | Machine Intelligence Learning, Inference, and Evolution |
| title_full_unstemmed | Machine Intelligence Learning, Inference, and Evolution |
| title_short | Machine Intelligence |
| title_sort | machine intelligence learning inference and evolution |
| title_sub | Learning, Inference, and Evolution |
| topic | bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Automatic control engineering bicssc / Information technology - general issues bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / COMPUTERS / Computer Engineering bisacsh / COMPUTERS / Programming / Games |
| topic_facet | bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Automatic control engineering bicssc / Information technology - general issues bisacsh / TECHNOLOGY & ENGINEERING / Electronics / General bisacsh / COMPUTERS / Computer Engineering bisacsh / COMPUTERS / Programming / Games |
| work_keys_str_mv | AT tizhooshhamid machineintelligencelearninginferenceandevolution |