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Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly
86% of respondents would recommend this to a friend
XOF 54002
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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
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?
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Beginners in AI
Ideal for those new to AI and machine learning concepts, providing easy-to-follow illustrations and explanations.
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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
Customer Questions & Answers
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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" has resonated positively with a diverse range of readers, particularly those new to artificial intelligence (AI). The book serves as an accessible introduction for programmers and computer science students with no prior experience in AI, offering a broad overview rather than delving into narrow specifics like machine learning. Readers appreciate its balanced coverage of essential AI concepts, particularly praising the chapters on evolutionary algorithms, which have received commendation for their clarity. One of the book's standout features is its incredibly readable style. The authors have designed the content to encourage deeper exploration of the topics, providing well-thought-out examples that enhance understanding. Many users find the diagrams particularly commendable, noting that they contribute significantly to the breakdown of complex ideas. Despite its strengths, some readers expressed the desire for the inclusion of more foundational algorithms, such as the Monte Carlo tree search, and noted a few areas in the text where explanations were lacking, specifically in sections on swarm intelligence and reinforcement learning. A suggestion for a second edition mentions the need for improved clarity and completeness in the coverage of neural networks and reinforcement learning concepts. However, most readers acknowledge that the detailed diagrams and examples provided largely compensate for these shortcomings. Overall, "Grokking Artificial Intelligence Algorithms" is hailed as one of the best technical books in the AI domain, with many noting their solid grasp of the material upon completion. It's a well-regarded starting point for those looking to deepen their understanding of AI algorithms. **
Customer Reviews & Ratings
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Pros
- Accessible introduction for beginners in AI
- Broad overview of fundamental AI concepts
- Detailed and clear explanations, especially in evolutionary algorithms
- Highly readable style that encourages further exploration
- Excellent diagrams and examples supporting understanding
- Step-by-step examples prepare readers to apply concepts practically
Cons
- Lack of coverage on certain key algorithms, such as Monte Carlo tree search
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XOF 54002
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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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