Machine Learning with Python, Scikit-Learn and Tensorflow: A Practical Guide for Building Intelligent Systems, Real-World AI Solutions and Production-Ready Models(2026 Edition)

Author:   Jesse L Gunter
Publisher:   Independently Published
ISBN:  

9798275522815


Pages:   270
Publication Date:   21 November 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Machine Learning with Python, Scikit-Learn and Tensorflow: A Practical Guide for Building Intelligent Systems, Real-World AI Solutions and Production-Ready Models(2026 Edition)


Overview

What if you could finally understand how machine learning works-without feeling overwhelmed, confused, or ""not technical enough""? Every day, we watch smart technologies make decisions that shape our world, yet most people still struggle to grasp what's happening behind the scenes. The problem isn't lack of intelligence-it's the way machine learning is often taught: too much math, too much jargon, and not enough clarity. This book changes that. Designed for beginners and curious learners, it breaks machine learning down into plain, friendly language you can actually understand. You'll learn what the key concepts mean, why they matter, and how modern ML systems make predictions, recognize images, understand text, and learn from data. No coding background? No problem. Complicated ideas are explained with simple examples and real-world illustrations that finally make everything ""click."" By the end, you won't just know the terms-you'll understand the intuition behind them. You'll be able to speak confidently about machine learning, explore hands-on projects, and begin building your own portfolio with zero technical intimidation. If you've always wanted to learn machine learning but didn't know where to start, this is the book that makes the journey clear, accessible, and genuinely exciting. Open these pages-and step confidently into the future.

Full Product Details

Author:   Jesse L Gunter
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 15.20cm , Height: 1.40cm , Length: 22.90cm
Weight:   0.363kg
ISBN:  

9798275522815


Pages:   270
Publication Date:   21 November 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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