Book Description
Machine Learning for Finance is a guide for practitioners and students entering the fintech field. It shows how to solve some of the most common and pressing issues facing institutions in the financial industry, from retail banks to hedge funds. The book focuses on deep learning but also covers a range of other machine learning and analysis tools, such as NumPy, Matplotlib, and pandas. Machine Learning for Finance is packed full of hands-on code simulating many of the problems and providing working solutions. This book gives the reader confidence and the experience to go ahead and tackle real life problems.
The financial industry was an early adopter of computers and machine learning. Today, the industry is in a process of enormous change with nimble startups now serious competitors to centuries-old banks, and passive investing soaking up assets under management like a sponge. Meanwhile customers are expecting more performance, faster, and at a lower cost. The industry is adopting automatic, data driven algorithms at a rapid pace, and Machine Learning for Finance gives you skills you need to be at the forefront.
