Hardware and software requirements

Now, let's talk about how you can set up your environment to work with ML technology.

One of the key aspects to using a cloud-based service, such as Watson, is that you don't need to own any of the intense hardware that usually goes behind deep learning, or machine learning, systems. Everything's done in the cloud for you, and it is billed based on how much of, or how long, you use the services and machines for.

Therefore, there are no strict hardware requirements.

This book will deal mainly with Python 3.7.2, so it's preferable to have a POSIX-compliant (Unix-like) OS, but Windows will also work, preferably Windows Subsystem for Linux (WSL).