Название: Tensorflow for Quantitative Finance: Transform Financial Analysis with TensorFlow's Cutting-Edge Machine Learning Techniques (Python Libraries for Finance) Автор: Hayden Van Der Post Издательство: Reactive Publishing Год: 2024 Страниц: 578 Язык: английский Формат: pdf, epub, mobi Размер: 10.1 MB
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 find:
Foundations of machine learning and deep learning in finance Techniques for financial time series forecasting Development of predictive models for stock prices and market trends Advanced risk management models using TensorFlow Algorithmic trading strategies powered by reinforcement learning Implementation of fraud detection systems Portfolio optimization and asset allocation models
With 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.
Chapter 1: Tensorflow basics Chapter 2: Data Preparation and Preprocessing Chapter 3: Fundamental Machine Learning Concepts for Finance Chapter 4: Deep Learning for Quantitative Finance Chapter 5: Advanced Topics in TensorFlow for Finance Chapter 6: Case Studies and Practical Applications Chapter 7: The Next Frontier
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