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.

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

1. Log in or register at www.packt.com.
2. Select the Support tab.
3. Click on Code Downloads.
4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

• WinRAR/7-Zip for Windows
• Zipeg/iZip/UnRarX for Mac
• 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Hands-On-Machine-Learning-with-ML.NET. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: http://www.packtpub.com/sites/default/files/downloads/9781789801781_ColorImages.pdf.

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "The first time the application is run, the ML.NET version of the model is trained with the images and tags.tsv file (to be reviewed in the next section)."

A block of code is set as follows:

public void Classify(string imagePath)
{
    var result = _prediction.Predict(imagePath);

    ImageClassification = $"Image ({imagePath}) is a picture of {result.PredictedLabelValue} with a confidence of {result.Score.Max().ToString("P2")}";
}

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

dotnet --version
3.0.100

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Firstly, ensure that .NET desktop development, Universal Windows Platform Development, and ASP.NET and web development are checked."

Warnings or important notes appear like this.

Tips and tricks appear like this.