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79375418
Deep Learning: A Comprehensive Guide, (Hardcover)
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Item #:
79375418
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Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts.
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What Stands Out
In-depth Coverage
This guide offers extensive insights into deep learning, covering fundamental concepts and advanced techniques, making it suitable for both beginners and experienced practitioners.
Expert Authors
Written by leading experts in the field, readers gain access to reliable and cutting-edge information, ensuring a high standard of quality and relevance in deep learning topics.
Hands-on Examples
Includes practical examples and case studies, allowing readers to apply theories and improve their skill set effectively, addressing real-world problems encountered in deep learning applications.
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Who Should Buy?
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Students
Ideal for university students pursuing courses in artificial intelligence and machine learning, offering foundational and advanced concepts.
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Professionals
Great for data scientists and engineers seeking to deepen their understanding of deep learning techniques and applications.
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Educators
Useful for instructors looking for a comprehensive reference to teach deep learning principles in academic settings.
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Beginners
Not suitable for complete beginners lacking prior knowledge in machine learning, as it may be too complex.
Product Description
Deep Learning: A Comprehensive Guide, (Hardcover)
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Shriram K Vasudevan All Books Editorial Review
Deep Learning: A Comprehensive Guide (Hardcover) is an essential resource for those diving into the field of machine theory and computing. Published by CRC Press in December 2021, this non-fiction book spans 290 pages, providing an in-depth exploration suitable for college-level education with a focus on technology. Praised for its detailed approach, it has received several accolades, including wins at over 50 hackathons and recognition as an Intel IoT Innovator. Readers can expect clear explanations that facilitate understanding of complex concepts.
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Pros
- Hardcover format for durability
- Well-structured for college-level education
- Accurately covers machine theory topics
- Recognized with multiple awards
- Suitable for technology enthusiasts
Cons
- May be too advanced for beginners
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Features & Benefits
- Comprehensive coverage of Deep Learning and Machine Learning concepts
- Smooth transition from ML concepts to DL concepts
- Line-by-line explanations for coding-based examples
- Real-time examples and interview questions included
- Suitable for individuals with non-computer-science background
- Includes quiz questions to test understanding
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