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Item #:
90385107
Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly
89% of respondents would recommend this to a friend
Item #:
90385107
CRC 43359
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This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way.
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What Stands Out
Illustrated Guide
Engaging visuals enhance understanding of complex algorithms, making deep learning concepts accessible to beginners and enthusiasts alike.
Hands-On Exercises
Practical exercises facilitate real-world application of theories, ensuring readers can implement AI algorithms confidently and effectively.
Comprehensive Coverage
Covers a wide range of core deep learning algorithms, providing a thorough foundation for anyone looking to delve into AI and machine learning.
Product Details
- Master the core algorithms of deep learning and AI
- Build an intuitive understanding of AI problems and solutions
- Written in simple language, with lots of illustrations and hands-on examples
- Includes creative coding exercises, like building a maze puzzle game and exploring drone optimization
- Teaches fundamental AI concepts using illustrations, exercises, and jargon-free explanations
- Covers use cases for different AI algorithms, intelligent search for decision making, biologically inspired algorithms, machine learning, neural networks, and reinforcement learning
| Publisher | Manning Publications |
| Publication date | 24 Aug. 2020 |
| Edition | 1st |
| Language | English |
| Print length | 392 pages |
| ISBN-10 | 161729618X |
| ISBN-13 | 978-1617296185 |
| Item weight | 454 g |
| Dimensions | 18.73 x 2.03 x 23.5 cm |
Who Should Buy?
-
Beginners in AI
Ideal for those new to AI and machine learning concepts, providing easy-to-follow illustrations and explanations.
-
Self-learners
Perfect for individuals pursuing self-study in AI, offering practical exercises and examples to enhance understanding.
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Educators and Trainers
Useful for educators designing curriculum or training programs, as it breaks down complex topics into digestible formats.
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Expert Practitioners
Not suitable for advanced users, as it covers foundational concepts rather than advanced algorithms and techniques.
Product Description
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Customer Questions & Answers
-
Question:
Who is this book written for?
Answer: Software developers with high school-level math skills. -
Question:
What are the key topics covered in this book?
Answer: The book covers core algorithms of deep learning and AI, intelligent search, biologically inspired algorithms, machine learning and neural networks, and reinforcement learning. -
Question:
Are there practical coding exercises in the book?
Answer: Yes, the book includes creative coding exercises, such as building a maze puzzle game and exploring drone optimization.
Programming Editorial Review
Grokking Artificial Intelligence Algorithms is a comprehensive guide published by Manning Publications that delves into deep learning and AI algorithms with a friendly and illustrated approach. With a print length of 392 pages, this book offers valuable exercises and examples to help readers grasp complex concepts. It is also noted for its engaging presentation, making intricate topics more approachable for those new to the field. The publication date of August 24, 2020, marks this edition as up-to-date in the rapidly evolving world of AI, ensuring readers learn the core algorithms effectively.
Customer Reviews & Ratings
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Pros
- Illustrated format aids understanding
- Includes practical exercises for learning
- Well-structured content for beginners
- Latest insights on AI algorithms
- Engaging writing style enhances learning
Cons
- Some readers may prefer more advanced topics.
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CRC 43359
Order now and get it around Wednesday, November 04
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Only 4 items left in stock.
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Features & Benefits
- Master the core algorithms of deep learning and AI
- Build an intuitive understanding of AI problems and solutions
- Written in simple language, with lots of illustrations and hands-on examples
- Creative coding exercises, including building a maze puzzle game and exploring drone optimization
- Use cases for different AI algorithms
- Intelligent search for decision making
- Biologically inspired algorithms
- Machine learning and neural networks
- Reinforcement learning to build a better robot
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