Can I read Machine Learning for Finance: The Practical Guide to Using Data-Driven Algorithms in Banking, Insurance, and Investments on EtoBox?

Machine Learning for Finance: The Practical Guide to Using Data-Driven Algorithms in Banking, Insurance, and Investments by Jannes Klaas is a nonfiction available to read on EtoBox.

What is Machine Learning for Finance: The Practical Guide to Using Data-Driven Algorithms in Banking, Insurance, and Investments about?

¡Machine Learning for Finance¡ explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending. It 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 the advanced ML concepts and ideas that can be applied in a wide variety of ways. The book shows how machine learning works on structured data, text, images, and time series. It includes coverage of generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. It discusses how to fight bias in machine learning and ends with an exploration of Bayesian inference and probabilistic programming. You can find links to all notebooks on this book's GitHub page: https://github.com/PacktPublishing/Machine-Learning-for-Finance

Who reads Machine Learning for Finance: The Practical Guide to Using Data-Driven Algorithms in Banking, Insurance, and Investments?

Author

Jannes Klaas

Publisher

Packt Publishing, Limited

Published

2019

Language

EN

ISBN

9781789136364

Category

nonfiction

Subjects

Science, Finance, Computer Science