Say hello to the "Hello, World" of machine learning.

In this code lab, you'll learn the basic "Hello, World" of ML, where instead of programming explicit rules in a language, such as Java or C++, you'll build a system trained on data to infer the rules that determine a relationship between numbers.

Consider the following problem: You're building a system that performs activity recognition for fitness tracking. You might have access to the speed at which a person is walking and attempt to infer their activity based on that speed using a conditional.

Prerequisites

Before attempting this codelab, you'll want to have:

A solid knowledge of Python

Basic programming skills

What you'll learn

The basics of machine learning

What you'll build

Your first machine learning model

What you'll need

If you've never created an ML model using TensorFlow, you can use Colaboratory, a browser-based environment containing all the required dependencies. You can find the code for the rest of the codelab running in Colab.

If you're using a different IDE, make sure you have Python installed. You'll also need TensorFlow and the NumPy library. You can learn more about and install TensorFlow here. Install NumPy here.