Item #:
249094929
Deep Learning (Adaptive Computation and Machine Learning series) -BRAND NEW
87% of respondents would recommend this to a friend
Item #:
249094929
DOP 2429
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This book serves as an authoritative guide to mastering deep learning techniques.
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What Stands Out
Comprehensive Coverage
Covers a wide range of deep learning concepts, from foundational theories to advanced techniques, making it suitable for both beginners and experienced practitioners.
Adaptable Learning
Offers adaptable learning approaches, allowing readers to grasp complex topics at their own pace, enhancing understanding and retention of deep learning principles.
Cutting-edge Research
Incorporates the latest research findings, ensuring readers are up-to-date with current trends and technologies in the fast-evolving field of deep learning.
Product Details
| Brand | Unbranded |
| Book Title | Deep Learning (Adaptive Computation and Machine Learning series) |
| MPN | Does not apply |
| Country of Origin | United States |
| ISBN | 9780262035613 |
| Subject Area | Computers |
| Publication Name | Deep Learning |
| Publisher | MIT Press |
| Item Length | 9.3 in (23.6 cm) |
| Subject | Intelligence (Ai) & Semantics, Computer Science |
| Publication Year | 2016 |
| Series | Adaptive Computation and Machine Learning Ser. |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 1.3 in (3.3 cm) |
| Author | Yoshua Bengio, Ian Goodfellow, Aaron Courville |
| Item Weight | 45.5 Oz (1289.93 grams) |
| Item Width | 7.3 in (18.5 cm) |
| Number of Pages | 800 Pages |
Who Should Buy?
-
Students in AI
Ideal for undergraduate and graduate students studying artificial intelligence and machine learning concepts comprehensively.
-
Data Scientists
Data scientists looking to deepen their understanding of deep learning techniques will find practical insights and applications.
-
Machine Learning Researchers
Researchers in the field of machine learning seeking advanced methods and theoretical background will benefit significantly.
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Beginner Level Learners
Absolute beginners in programming or machine learning may find the content too advanced without prior knowledge.
Product Description
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Customer Questions & Answers
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Question:
Who are the authors of this book?
Answer: The authors are Yoshua Bengio, Ian Goodfellow, and Aaron Courville. -
Question:
What topics does the book cover?
Answer: The book covers linear algebra, probability, information theory, numerical computation, and practical deep learning applications. -
Question:
Is this book suitable for beginners?
Answer: Yes, it is designed for both aspiring data scientists and seasoned practitioners, making it accessible for beginners.
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Features & Benefits
- Essential resource for AI and machine learning enthusiasts.
- Authoritative 800-page hardcover edition by leading experts.
- Accessible explanation of complex deep learning concepts.
- Comprehensive content covering both theoretical and practical applications.
- Packed with real-world case studies and methodologies.
- A valuable resource for both students and industry practitioners.
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