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Item #:
10396906
Penguin Random House Deep Learning (Adaptive Computation and Machine Learning series)
87% of respondents would recommend this to a friend
Item #:
10396906
BHD 51
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“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” — Elon Musk
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What Stands Out
Expert Insights
Authored by leading experts, this book provides profound insights into deep learning methodologies, ensuring readers acquire cutting-edge knowledge from credible sources in the field of artificial intelligence.
Comprehensive Coverage
The book thoroughly covers essential deep learning concepts, techniques, and applications, making it suitable for both beginners and established professionals seeking to enhance their understanding of advanced computation.
Modern Applications
Focusing on practical uses, this resource highlights real-world applications of deep learning, allowing readers to grasp how these technologies revolutionize various industries, from healthcare to automation.
Product Details
- Comprehensive introduction to deep learning
- Covers mathematical and conceptual background
- Describes deep learning techniques used in industry
- Surveys applications in natural language processing, computer vision, and more
- Offers research perspectives on theoretical topics in deep learning
- Suitable for undergraduate and graduate students, as well as software engineers
| Publisher | MIT Press |
| Publication date | 3 Jan. 2017 |
| Language | English |
| Print length | 800 pages |
| ISBN-10 | 0262035618 |
| ISBN-13 | 978-0262035613 |
| Item weight | 1.33 kg |
| Reading age | 18 years and up |
| Dimensions | 23.11 x 18.29 x 2.79 cm |
Who Should Buy?
-
Machine Learning Enthusiasts
Ideal for individuals eager to deepen their understanding of deep learning concepts and systems.
-
Academic Students
Perfect for university students pursuing computer science, artificial intelligence, or data science curricula.
-
Research Professionals
Beneficial for researchers looking to enhance their knowledge and application of deep learning techniques.
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Casual Readers
Not suitable for those seeking light reading material or entertainment rather than technical knowledge.
Product Description
Penguin Random House Deep Learning (Adaptive Computation and Machine Learning series)
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AI & Machine Learning Editorial Review
Penguin Random House Deep Learning Adaptive Computation And Machine Learning Series is a comprehensive textbook published by MIT Press that serves both as an introduction and a deep dive into the field of Machine Learning and Deep Learning. With 800 pages of well-organized content, this book covers essential foundations like math and statistics, providing readers with contextual knowledge of advanced topics such as contrastive divergence and Monte Carlo sampling. Reviewers highlight its clarity and thoroughness, making it an invaluable reference for students and professionals alike, particularly those ready to engage with the mathematical underpinnings on which deep learning technologies are built.
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Pros
- Comprehensive coverage of deep learning concepts
- Clear explanations with good mathematical grounding
- Well-structured for both reference and learning
- Self-contained chapters facilitate understanding
- Excellent for theoretical understanding of methods
Cons
- Requires prior knowledge of advanced math topics
Product Price History
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Features & Benefits
- Comprehensive introduction to deep learning.
- Covers mathematical and conceptual foundations.
- Includes industry techniques like convolutional networks.
- Surveys applications in NLP, speech recognition, and more.
- Suitable for undergraduate, graduate, and software engineers.
- Supplementary materials available online.
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