- Hands-On Machine Learning with ML.NET
- Jarred Capellman
- 141字
- 2021-06-24 16:43:23
To get the most out of this book
You will need a version of Angular installed on your computer—the latest version, if possible. All code examples have been tested using Angular 9 on Windows OS. However, they should work with future version releases too.
Software/Hardware covered in the book OS Requirements
Microsoft Visual Studio 2019 A common Windows 10 development environment with 20-50 GB of free space (a quad core processor and 8 GB of RAM is highly recommended)
If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copy/pasting of code.
推薦閱讀
- Monkey Game Development:Beginner's Guide
- Learning RabbitMQ
- 零基礎學MQL:基于EA的自動化交易編程
- Banana Pi Cookbook
- Getting Started with Gulp
- Julia高性能科學計算(第2版)
- Visual Basic程序設計上機實驗教程
- Creating Stunning Dashboards with QlikView
- Android驅動開發權威指南
- Learning Node.js for .NET Developers
- 程序員必會的40種算法
- Mastering Drupal 8
- Python面向對象編程(第4版)
- PHP 7 Programming Blueprints
- Spring Boot 2+Thymeleaf企業應用實戰