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Č. položky:
154983799
Machine Learning and Artificial Intelligence, (Hardcover)
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Č. položky:
154983799
€ 95
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This book unifies both theoretical and practical perspectives for a holistic understanding of AI and ML.
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What Stands Out
Comprehensive Coverage
Offers in-depth insights into machine learning and AI, making complex concepts accessible for beginners and professionals alike, enhancing understanding across various skill levels.
Expert Contributions
Includes chapters from leading industry experts, providing authoritative perspectives and real-world applications, ensuring readers receive the most relevant and current information in the field.
Practical Examples
Features numerous case studies and practical examples, illustrating how machine learning and AI are applied in diverse sectors, helping readers connect theory with practice effectively.
Detaily produktu
- The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | December, 2022 |
| Pages | 271 |
| Subgenre | Telecommunications |
| Series title | No Series |
| Edition | 2nd second 2023 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.69 x 9.21 in (15.6 x 1.8 x 23.4 cm) |
| Assembled product weight | 1.3 lb (590 grams) |
| Bisac subject heading | Technology & Engineering |
Who Should Buy?
-
Students
Ideal for university students studying data science, offering foundational concepts and project examples in machine learning.
-
Professionals
Useful for industry professionals looking to deepen their understanding of AI applications and advancements in machine learning.
-
Researchers
Supports researchers needing comprehensive insights into current trends and methodologies in machine learning and artificial intelligence.
-
Casual Readers
Not suitable for casual readers without a technical background, as it requires prior understanding of complex concepts.
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€ 95
Objednajte teraz a dostanete to okolo Sobota, Október 17
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Funkcie a výhody
- Comprehensive coverage of AI and ML theory and applications.
- Balanced perspective integrating both theoretical and practical approaches.
- Includes exercises to apply learnings to real-life problems.
- Minimal use of mathematics for intuitive understanding.
- Suitable for graduate students, upper undergraduate courses, researchers, and professionals.
- Flexibly structured to accommodate tailored course designs.
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