In this chapter, we'll start by setting up a Jupyter environment to run our experiments and algorithms in, we'll get into different nifty Python and Jupyter hacks for artificial intelligence (AI), we'll do a toy example in scikit-learn, Keras, and PyTorch, and then a slightly more elaborate example in Keras to round things off. This chapter is largely introductory, and a lot of what see in this chapter will be built on in subsequent chapters as we get into more advanced applications.
In this chapter, we'll cover the following recipes:
- Setting up a Jupyter environment
- Getting proficient in Python for AI
- Classifying in scikit-learn, Keras, and PyTorch
- Modeling with Keras
