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AI Book Writing
 
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Build Your Own AI

A developer’s guide for building real-world AI applications
10
# AI Book Writing
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Problem
Developers face challenges in building real-world AI applications due to complex processes and lack of practical guidance.
Solution
A book offering a straightforward, practical guide with example code for developers to build real-world AI applications.
Customers
Developers and individuals looking to create AI applications with real-world applications.
Alternatives
1.Python Machine Learning
2.Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
3.Deep Learning
4.Artificial Intelligence: A Guide for Thinking Humans
5.Machine Learning Yearning
View all Build Your Own AI alternatives →
Unique Features
Provides hands-on examples and code snippets for practical application of AI concepts.
Tailored specifically for developers, offering real-world use cases and guidance.
User Comments
Clear and concise guide for developers interested in AI development.
Practical examples make it easier to understand and implement AI concepts.
Great resource for hands-on learning and building AI applications.
Traction
Specific traction details are not available for the product.
Market Size
$71 billion global AI market in 2021, with a projected 40% annual growth rate.