In this chapter, we will be looking at the basics - the idea of prediction, using traditional regression and moving towards learning based methods.

From traditional regression to neural networks - it's not that big a leap as you might think. In this book, let's get a peek into this transition while appreciating how animal kingdom is already using this strategy. We will be taking help from our friend - intuition - time and again.

After constructing the theoretical framework in the last chapter, we will now be dealing with some of the practical difficulties.

From traditional regression to neural networks - it's not that big a leap as you might think. In this book, let's get a peek into this transition while appreciating how animal kingdom is already using this strategy. We will be taking help from our friend - intuition - time and again.

From traditional regression to neural networks - it's not that big a leap as you might think. Let's get a peek into this transition while appreciating how biology has figured out this strategy and worked it to almost perfection. We will be taking help from our friend - intuition - time and again.

In this chapter, we'll be looking at the description of recurrent neural network (RNN).

In this chapter, we will be sharpening our theoretical tools and sneak our way into the mathematics of neural networks.

From traditional regression to neural networks - it's not that big a leap as you might think. In this book, let's get a peek into this transition while appreciating how animal kingdom is already using this strategy. We will be taking help from our friend - intuition - time and again.