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Machine Learning for Developers: Hands-on Guide to Building Intelligent Systems with Scikit-Learn, Keras, and TensorFlow


Price: $9.99
(as of Jul 02, 2025 11:47:05 UTC – Details)


Machine learning is revolutionizing the way we interact with data. From self-driving cars to personalized recommendations, machine learning is powering innovation across industries. This book empowers you to harness the potential of machine learning and build intelligent systems that can learn from data and make informed decisions.

Summary of the Book:

This comprehensive guide provides a practical introduction to machine learning using Python and popular libraries like Scikit-Learn, Keras, and TensorFlow. You’ll learn the fundamental concepts of machine learning, explore various algorithms, and build real-world applications.

Key Features:

Clear and Concise Explanations: Understand complex concepts with ease.Hands-On Projects: Apply your knowledge through practical exercises.Real-World Examples: Learn from real-world applications of machine learning.Step-by-Step Guidance: Follow along with clear instructions and code snippets.Latest Techniques: Stay up-to-date with cutting-edge machine learning techniques.

Who is This Book For:

Data scientists and machine learning practitionersStudents and researchers interested in AIDevelopers looking to build intelligent applicationsAnyone curious about the power of machine learning

Unlock the Power of Data: Learn how to extract valuable insights from data.

Build Intelligent Systems: Create innovative applications that can learn and adapt.

Advance Your Career: Gain in-demand skills and boost your career prospects.

Join the Machine Learning Revolution: Be part of the future of technology.

ASIN ‏ : ‎ B0DGVNDNKS
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ December 18, 2024
Language ‏ : ‎ English
File size ‏ : ‎ 1.1 MB
Simultaneous device usage ‏ : ‎ Unlimited
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 193 pages
Page Flip ‏ : ‎ Enabled

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