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Artificial Intelligence Programming with Python: From Zero to Hero
88% of respondents would recommend this to a friend
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A thorough introduction to artificial intelligence programming using Python from scratch with code examples.
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What Stands Out
Product Details
- Hands-on roadmap to using Python for artificial intelligence programming
- Thorough introduction to artificial intelligence fundamentals
- Simple and plain language with illustrative code examples
- Covers topics such as machine learning and deep learning
- Includes introductions to MATLAB, Python, AI, and machine learning
- Suitable for those with basic programming knowledge
| Publisher | Wiley |
| Publication date | March 29, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 720 pages |
| ISBN-10 | 1119820863 |
| ISBN-13 | 978-1119820864 |
| Item Weight | 2.55 pounds (1.16 kg) |
| Dimensions | 7.3 x 1.3 x 9.1 inches (18.5 x 3.3 x 23.1 cm) |
Who Should Buy?
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Beginners in AI
Ideal for users with no prior experience in AI, offering foundational knowledge and practical skills in programming.
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Python Enthusiasts
Great for Python programmers looking to expand their expertise into artificial intelligence applications and techniques.
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Practical Learners
Beneficial for those who prefer hands-on learning through projects, enhancing understanding of AI concepts through practical examples.
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Experienced Programmers
Not suitable for advanced developers familiar with AI concepts, as it may not provide sufficient depth or challenge.
Product Description
Artificial Intelligence Programming with Python: From Zero to Hero
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Intelligence & Semantics Editorial Review
Artificial Intelligence Programming with Python: From Zero to Hero offers a substantial examination of AI concepts and their applications through Python examples. The author does well in breaking down complex AI topics, making it accessible for beginners. However, readers note a lack of depth in explanations and the absence of source code for practical application. While the book provides various code snippets, some critiques emphasize that the exercises may not effectively foster a deep understanding of model development. Overall, despite the book's polarizing reception, many appreciate its insightful overview of future AI trends and its well-organized structure for readers who are new to the subject.
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Pros
- Comprehensive overview of AI concepts and applications
- Accessible for beginners with no prior knowledge
- Engaging writing style keeps readers interested
- Breaks down complex topics into understandable sections
- Useful for those looking to communicate with AI developers
Cons
- Lacks practical source code for hands-on learning
Product Price History
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Features & Benefits
- Introduction to artificial intelligence, machine learning, and deep learning
- Discussions on supervised and unsupervised machine learning, as well as semi-supervised learning
- Includes practical AI and Python cheat sheet quick references
- Ideal for those with basic programming knowledge seeking to understand foundational concepts in AI and development
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