Book Image

Machine Learning for Finance

By : Jannes Klaas
Book Image

Machine Learning for Finance

By: Jannes Klaas

Overview of this book

Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself. The book is based on Jannes Klaas’ experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on advanced machine learning concepts and ideas that can be applied in a wide variety of ways. The book systematically explains how machine learning works on structured data, text, images, and time series. You'll cover generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. Later chapters will discuss how to fight bias in machine learning. The book ends with an exploration of Bayesian inference and probabilistic programming.
Table of Contents (15 chapters)
Machine Learning for Finance
Contributors
Preface
Other Books You May Enjoy
Index

Computer vision beyond classification


As we have seen, there are many techniques that we can use to make our image classifier work better. These are techniques that you'll find used throughout this book, and not only for computer vision applications.

In this final section of the chapter, we will discuss some approaches that go beyond classifying images. These tasks often require more creative use of neural networks than what we've discussed throughout this chapter.

To get the most out of this section, you don't need to worry too much about the details of the techniques presented, but instead look at how researchers were creative about using neural networks. We're taking this approach because you will often find that the tasks you are looking to solve require similar creativity.

Facial recognition

Facial recognition has many applications for retail institutions. For instance, if you're in the front office, you might want to automatically recognize your customer at an ATM, or alternatively, you...