Artificial Intelligence in Finance: A Python-Based Guide PDF Github

Artificial Intelligence in Finance: A Python-Based Guide PDF Github
Artificial Intelligence in Finance O'reilly PDF
eBook: O'Reilly Artificial Intelligence in Finance: A Python-Based Guide PDF by Yves Hilpisch

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With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. 

Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through back-testing and algorithmic trading--the automated execution of trading strategies.

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July 25, 2021
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