Machine Learning for Finance: Data algorithms for the markets and deep learning from the ground up for financial experts and economics

✍ Scribed by Klaas, Jannes

• Publisher: Packt Publishing - ebooks Account
• Year: 2018;2019
• Tongue: English
• Series: Expert insight
• Category: Library

✦ Synopsis

Plan and build useful machine learning systems for financial services, with full working Python code

Key Features

Build machine learning systems that will be useful across the financial services industry

Discover how machine learning can solve finance industry challenges

Gain the machine learning insights and skills fintech companies value most

Book Description

Machine learning skills are essential for anybody working in financial data analysis. Machine Learning for Finance shows you how to build machine learning models for use in financial services organizations. It shows you how to work with all the key machine learning models, from simple regression to advanced neural networks.

You will see how to use machine learning to automate manual tasks, identify and address systemic bias, and find new insights and patterns hidden in available data. Machine Learning for Finance encourages and equips you to find new ways to use data to serve an...

✦ Table of Contents

Neural networks and gradient-based optimization --
Applying machine learning to structured data --
Utilizing computer vision --
Understanding time series --
Parsing textual data with natural language processing --
Using generative models --
Reinforcement learning for financial markets --
Privacy, debugging, and launching your products --
Fighting bias --
Bayesian inference and probabilistic programming.