To get the most out of this book

It is a best practice to learn machine learning in Google Cloud in two folds: studying the chapters to master the basic concepts, and learning by doing all the lab examples in the chapters, especially the labs in the appendices.

While some basic computer technical knowledge is expected to start, being a cloud developer or cloud engineer is not a necessity. You can read this book from beginning to end, or you can jump to the chapters that seem most relevant to you.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.