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

Chapter 3. Utilizing Computer Vision

When Snapchat first introduced a filter featuring a breakdancing hotdog, the stock price of the company surged. However, investors were less interested in the hotdog's handstand; what actually fascinated them was that Snapchat had successfully built a powerful form of computer vision technology.

The Snapchat app was now not only able to take pictures, but it was also able to find the surfaces within those pictures that a hotdog could breakdance on. Their app would then stick the hotdog there, something that could still be done when the user moved their phone, allowing the hotdog to keep dancing in the same spot.

While the dancing hotdog may be one of the sillier applications of computer vision, it successfully showed the world the potential of the technology. In a world full of cameras, from the billions of smartphones, security cameras, and satellites in use every day, to Internet of Things (IoT) devices, being able to interpret images yields great benefits...