Book Image

AI Crash Course

By : Hadelin de Ponteves
5 (2)
Book Image

AI Crash Course

5 (2)
By: Hadelin de Ponteves

Overview of this book

Welcome to the Robot World … and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.
Table of Contents (17 chapters)
16
Index

Summary

Thompson Sampling is a powerful sampling technique that enables you to quickly figure out the highest of a number of unknown conversion rates. It is always applied in the same frame, called the multi-armed bandit problem, which in the classic sense is composed of several slot machines, each one having a different conversion rate of positive outcomes. We had a first glance at how this AI solves this problem better and faster than standard methods.

In the next chapter, we will perform a full practical activity where we will see how the multi-armed bandit frame can easily model a business problem—online advertising—and how Thompson Sampling can bring significant added value.