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Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
89% of respondents would recommend this to a friend
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With this book, you'll be able to explore the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the most effective way possible.
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Product Details
| Publisher | Packt Publishing |
| Publication date | December 21, 2018 |
| Language | English |
| Print length | 764 pages |
| ISBN-10 | 1789957214 |
| ISBN-13 | 978-1789957211 |
| Item Weight | 2.84 pounds (1.29 kg) |
| Dimensions | 7.5 x 1.73 x 9.25 inches (19.1 x 4.4 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Scientists
Ideal for individuals aiming to deepen their knowledge in machine learning and AI applications using Python.
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Experienced Programmers
Great for programmers looking to enhance their skills in AI through advanced Python frameworks and concepts.
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AI Enthusiasts
Perfect for those passionate about artificial intelligence and eager to learn through practical Python examples.
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Beginner Programmers
Not suitable for those new to programming, as prior Python experience is necessary for comprehension.
Product Description
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
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Intelligence & Semantics Editorial Review
Python: Advanced Guide to Artificial Intelligence is a well-written and comprehensive guide that covers expert machine learning systems and intelligent agents using Python. This book is written in a clear and concise manner, making it accessible to both beginners and advanced users. It covers a wide range of advanced topics, including deep learning, natural language processing, and reinforcement learning. One customer wrote that the book is an "excellent guide for those interested in AI and ML using Python." Another reviewer praised the book for being "well-structured and easy to follow," with "plenty of working examples that can be used as a starting point for your own projects." However, some reviewers noted that the book is not geared towards total beginners. One person wrote that "the book assumes a solid knowledge of Python and mathematics," which may make it difficult for those who are new to programming or mathematics. Overall, Python: Advanced Guide to Artificial Intelligence is a valuable resource for anyone looking to dive deeper into the world of machine learning and artificial intelligence using Python.
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Pros
- Comprehensive coverage of advanced topics in AI and ML
- Clear and concise writing style
- Plenty of working examples to use as a starting point for personal projects
Cons
- Not suitable for complete beginners due to its assumption of prior knowledge in Python and mathematics.
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Features & Benefits
- Explore widely used algorithms in supervised, unsupervised, and semi-supervised machine learning
- Learn how to use these algorithms effectively
- Build deep learning models for object detection, image classification, and similarity learning
- Discover advanced features of Tensorflow 1.x and deployment of production models
- Implement techniques for object classification, object detection, and image segmentation
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