Hands-On Machine Learning with ML.NET
With this book, you will learn to build ML.NET applications by exploring various machine learning models using C# code. You will cover basic to advanced level topics using step by step explanation and example-driven approach. You will learn about Integrating TensorFlow in ML.NET application to extend the capabilities of machine learning models.
Offered by
Difficulty Level
Intermediate
Completion Time
9h52m
Language
English
About Book
Who Is This Book For?
If you are a .NET developer who wants to implement machine learning models using ML.NET, then this book is for you. This book will also be beneficial for data scientists and machine learning developers who are looking for effective tools to implement various machine learning algorithms. A basic understanding of C# or .NET is mandatory to grasp the concepts covered in this book effectively.
Hands-On Machine Learning with ML.NET
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h52m total length
Getting started with Machine Learning and ML.NET
Setting up the ML.NET environment
Regression Model
Classification Model
Clustering Model
Anomaly Detection Model
Matrix Factorization Model
Using ML.NET with .NET Core and Forecasting
Using ML.NET with ASP.NET
Using ML.NET with UWP
Training and Building Production Models
Using Tensorflow with ML.NET
Using ONNX with ML.NET
Related Resources
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