Tensorflow for Quantitative Finance: Transform Financial Analysis with TensorFlow's Cutting-Edge Machine Learning Techniques

by Hayden Van Der Post, Alice Schwartz (editor), Reactive Publishing

Reactive Publishing
Transform your financial analysis and modeling with "TensorFlow for Quantitative Finance," the ultimate guide for financial professionals seeking to harness the power of machine learning. This comprehensive book equips financial analysts, data scientists, and quantitative researchers with the tools and knowledge to apply TensorFlow's advanced capabilities to a wide range of financial applications.

Explore how TensorFlow can revolutionize financial modeling, from predictive analytics to risk management and algorithmic trading. This expert-level resource provides practical, hands-on examples, detailed tutorials, and real-world case studies to help you integrate TensorFlow into your quantitative finance workflows effectively.

Inside "TensorFlow for Quantitative Finance," you will

Foundations of machine learning and deep learning in financeTechniques for financial time series forecastingDevelopment of predictive models for stock prices and market trendsAdvanced risk management models using TensorFlowAlgorithmic trading strategies powered by reinforcement learningImplementation of fraud detection systemsPortfolio optimization and asset allocation modelsWith contributions from leading industry experts, this book offers insights into the latest advancements in financial technology and practical guidance on applying TensorFlow to solve complex financial problems. Enhance your analytical skills, make data-driven decisions, and stay competitive in the evolving financial landscape with "TensorFlow for Quantitative Finance

578 pages, Kindle Edition

Published June 2, 2024