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Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to
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eBay item number:364116466297
Item specifics
- Condition
- Book Title
- Hands-On Machine Learning with ML.NET: Getting started with Micro
- Publication Date
- 2020-03-27
- ISBN
- 9781789801781
- Publication Year
- 2020
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Hands-On Machine Learning with ML. NET : Getting Started with Microsoft ML. NET to Implement Popular Machine Learning Algorithms in C#
- Item Length
- 3.6in
- Publisher
- Packt Publishing, The Limited
- Item Width
- 3in
- Number of Pages
- 296 Pages
About this product
Product Information
Create, train, and evaluate various machine learning models such as regression, classification, and clustering using ML.NET, Entity Framework, and ASP.NET Core Key Features Get well-versed with the ML.NET framework and its components and APIs using practical examples Learn how to build, train, and evaluate popular machine learning algorithms with ML.NET offerings Extend your existing machine learning models by integrating with TensorFlow and other libraries Book Description Machine learning (ML) is widely used in many industries such as science, healthcare, and research and its popularity is only growing. In March 2018, Microsoft introduced ML.NET to help .NET enthusiasts in working with ML. With this book, you'll explore how to build ML.NET applications with the various ML models available using C# code. The book starts by giving you an overview of ML and the types of ML algorithms used, along with covering what ML.NET is and why you need it to build ML apps. You'll then explore the ML.NET framework, its components, and APIs. The book will serve as a practical guide to helping you build smart apps using the ML.NET library. You'll gradually become well versed in how to implement ML algorithms such as regression, classification, and clustering with real-world examples and datasets. Each chapter will cover the practical implementation, showing you how to implement ML within .NET applications. You'll also learn to integrate TensorFlow in ML.NET applications. Later you'll discover how to store the regression model housing price prediction result to the database and display the real-time predicted results from the database on your web application using ASP.NET Core Blazor and SignalR. By the end of this book, you'll have learned how to confidently perform basic to advanced-level machine learning tasks in ML.NET. What you will learn Understand the framework, components, and APIs of ML.NET using C# Develop regression models using ML.NET for employee attrition and file classification Evaluate classification models for sentiment prediction of restaurant reviews Work with clustering models for file type classifications Use anomaly detection to find anomalies in both network traffic and login history Work with ASP.NET Core Blazor to create an ML.NET enabled web application Integrate pre-trained TensorFlow and ONNX models in a WPF ML.NET application for image classification and object detection Who this book is 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.
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1789801788
ISBN-13
9781789801781
eBay Product ID (ePID)
13050408363
Product Key Features
Publication Name
Hands-On Machine Learning with ML. NET : Getting Started with Microsoft ML. NET to Implement Popular Machine Learning Algorithms in C#
Format
Trade Paperback
Language
English
Publication Year
2020
Type
Textbook
Number of Pages
296 Pages
Dimensions
Item Length
3.6in
Item Width
3in
Additional Product Features
Table of Content
Table of Contents 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
Copyright Date
2020
Target Audience
Trade
Topic
Machine Theory, Intelligence (Ai) & Semantics, Data Processing
Dewey Decimal
006.31
Dewey Edition
23
Genre
Computers
Item description from the seller
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eBay item number:364116466297
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Was sent the wrong item. I ordered a CD and I received an LP instead. Two different places on the description said that it was a used CD in good condition. When I emailed the seller about it I got a generic reply telling me that they would get to it when they can and that if I send a second message it will just delay the process. That is terrible customer service. If they have time to send me an email message at all then they have time to initiate a refund or to answer the question I asked.
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The book arrived in a plastic envelope with not protection and unfortunately it looked like the book was damaged in transit because of it. The items original ETA was April 18th but arrived on April 22nd. I requested a refund after seeing the quality of the book and the seller responded with a full refund and an apology for the quality. I really appreciated the customer service but was sad to see the book not in the quality described.
r***5 (1)- Feedback left by buyer.
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Thank you so much for the quick response and delivery. I have not ordered from eBay in many years. You have renewed my trust that there are some professional sellers I can work with through eBay not just Amazon. Thanks again!☺️
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