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Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch
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TWD 2167
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Artificial Intelligence with Python Cookbook provides practical recipes to solve complex machine learning and deep learning problems using Python, making it a valuable resource for Python developers, data scientists, machine learning engineers, and deep learning practitioners.
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產品詳情
| Publisher | Packt Publishing |
| Publication date | 30 Oct. 2020 |
| Language | English |
| Print length | 468 pages |
| ISBN-10 | 1789133963 |
| ISBN-13 | 978-1789133967 |
| Item weight | 874 g |
| Dimensions | 19.05 x 2.69 x 23.5 cm |
Who Should Buy?
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AI Enthusiasts
Individuals eager to explore AI concepts through practical examples and comprehensive recipes focused on TensorFlow and PyTorch.
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Data Scientists
Practitioners looking to enhance their skill set in AI and deep learning implementation with hands-on, recipe-style guidance.
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Students
Learners studying AI or machine learning who benefit from clear, structured instructions and projects to reinforce their understanding.
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Complete Beginners
Those with no prior programming or AI knowledge may struggle with concepts and technical details presented in the book.
產品描述
Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
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AI & Machine Learning Editorial Review
Artificial Intelligence With Python Cookbook Proven Recipes For Applying AI Algorithms And Deep Learning Techniques Using TensorFlow 2.x And PyTorch 1.6 is a comprehensive guide with clear code examples that cater to both beginners and experienced programmers. Covering topics from traditional AI methods to cutting-edge advancements, this book is praised for its practical approach and engaging style, allowing readers to jump into coding quickly without lengthy theoretical discussions. Many have highlighted the ability to easily reference code examples and explore diverse AI areas, such as genetic algorithms and natural language processing, ensuring a well-rounded understanding of machine learning problems.
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優點
- Covers a wide range of AI topics
- Easy to follow with clear code examples
- Practical approach avoids deep theoretical discussions
- Engaging style for both beginners and experts
- Offers online resources for deeper learning
缺點
- Not ideal for those seeking extensive formulas and derivations
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TWD 2167
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特色和優勢
- Learn how to solve complex machine learning and deep learning problems
- Provides practical recipes and hands-on problem-solving solutions
- Covers a wide range of AI techniques from the essentials to advanced methods
- Gain the knowledge and tools to effectively approach complex problems
- Ideal for those with basic working knowledge of Python and machine learning
- Valuable resource for anyone looking for state-of-the-art solutions in various use cases
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