Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

• Explore advances in machine learning and how to put them to work in financial industries
• Gain expert insights into how machine learning works, with an emphasis on financial applications
• Discover advanced machine learning approaches, including neural networks, GANs, and reinforcement learning

Book Description

What you will learn

• Apply machine learning to structured data, natural language, photographs, and written text
• Understand how machine learning can help you detect fraud, forecast financial trends, analyze customer sentiments, and more
• Implement heuristic baselines, time series, generative models, and reinforcement learning in Python, scikit-learn, Keras, and TensorFlow
• Delve into neural networks, and examine the uses of GANs and reinforcement learning
• Debug machine learning applications and prepare them for launch
• Address bias and privacy concerns in machine learning

Who this book is for

This book is ideal for readers who understand math and Python, and want to adopt machine learning in financial applications. The book assumes college-level knowledge of math and statistics.