Programming Intelligence: Introduction to Machine Learning with C#

By Wagner Perdão Salvi

Unlock the power of Machine Learning in C# - even if you're not a data scientist.

What if you could build intelligent applications capable of predicting outcomes, detecting patterns, and making decisions... using the skills you already have in .NET?

This book is your practical gateway into the world of Artificial Intelligence with ML.NET - designed specifically for developers who want real results, not abstract theory.

Instead of drowning you in complex math, you'll learn by doing.

Inside this book, you'll discover:

How to build predictive models in C# from scratchStep-by-step implementations of regression, classification, clustering, and NLPHow to work with real-world datasets and extract meaningful insightsPractical examples like fraud detection, customer churn prediction, and demand forecastingHow to automate machine learning using AutoML.NETBest practices for deploying, monitoring, and maintaining ML models in production

Why this book is different?

Because it's built for developers, not academics.

You won't just learn what Machine Learning is - you'll learn how to apply it in real applications, using tools you already know like C#, .NET, and Visual Studio.

Who is this book for?

.NET developers who want to enter the world of AISoftware engineers looking to build smarter applicationsBeginners who prefer hands-on learning instead of theory-heavy content

Stop watching the future happen. Start building it.

If you're ready to turn your C# skills into real AI-powered solutions, this book will show you exactly how.

Get your copy now and start building intelligent applications today.

• Format: Paperback
• Language: English
• ISBN: B0F3872R52
• ISBN13: 9798316264117
• Release Date: March 2025
• Publisher: Independently Published
• Length: 102 Pages
• Weight: 0.32 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"