Grokking Artificial Intelligence Algorithms : Understand and apply the core algorithms of deep learning and artificial intelligence in this friendly
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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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Λεπτομέρειες προιόντος
- This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way. - David Jacobs, Product Advance Local Key Features 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 About The Book Artificial intelligence requires teaching a computer how to approach different types of problems in a systematic way. The core of AI is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. Mastering the core algorithms for search, image recognition, and other common tasks is essential to building good AI applications Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts.You'll explore coding challenges like detectÂing bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. All you need is the algebra you remember from high school math class and beginning programming skills. What You Will Learn 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 This Book Is Written For For software developers with high school-level math skills. About the Author Rishal Hurbans is a technologist, startup and AI group founder, and international speaker. Table of Contents 1 Intuition of artificial intelligence 2 Search fundamentals 3 Intelligent search 4 Evolutionary algorithms 5 Advanced evolutionary approaches 6 Swarm intelligence: Ants 7 Swarm intelligence: Particles 8 Machine learning 9 Artificial neural networks 10 Reinforcement learning with Q-learning
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2020 |
| Pages | 392 |
| Reading level | Professional & Vocational |
| Edition | 1st Edition |
| Publisher | Manning |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | High School |
| Illustrator | Tim Archbold |
| Binding type | Perfect Binding |
| Assembled product height | 0.8 in |
| Assembled product weight | 1.45 lb (660 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Beginners in AI
Ideal for newcomers seeking a clear, illustrated introduction to deep learning concepts and algorithms.
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Self-learners
Great for individuals who prefer to study at their own pace through exercises and practical examples.
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Educators and Trainers
Useful for teachers looking for accessible materials to teach AI concepts effectively using illustrations.
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Advanced Practitioners
Not suited for experienced professionals seeking in-depth technical discussions and complex AI algorithms.
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Ερωτήσεις & Απαντήσεις Πελατών
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ερώτηση:
Who is this book for?
απάντηση: This book is designed for software developers with high school-level math skills. -
ερώτηση:
What key concepts does this book cover?
απάντηση: The book covers core algorithms of AI, machine learning, neural networks, and reinforcement learning. -
ερώτηση:
Are there practical exercises included?
απάντηση: Yes, it includes creative coding exercises to enhance learning, such as building a maze puzzle game.
Rishal Hurbans All Books Editorial Review
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Χαρακτηριστικά & Πλεονεκτήματα
- Master the core algorithms of deep learning and AI.
- Gain an intuitive understanding of AI problems and solutions.
- Learn through simple language, illustrations, and hands-on examples.
- Engage with creative coding exercises, including building a maze puzzle game.
- Ideal for software developers with high school-level math skills.
- Explore key AI topics like machine learning and reinforcement learning.
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