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O'Reilly Artificial Intelligence in Finance - Python Guide

Amazon

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Description

The financial industry is undergoing a fundamental change as AI and machine learning integrate with real-time and historical financial data. This practical book by Yves Hilpisch provides a roadmap for using these technologies to identify statistical inefficiencies in financial markets. Designed for practitioners, students, and academics, this guide bridges the gap between finance and data science. You will learn how to apply machine learning and deep learning techniques to develop algorithmic trading strategies. By combining programmatic data availability with advanced AI models, this O'Reilly guide helps you navigate the evolving landscape of modern finance.

Key Features

This O'Reilly guide provides practical ways to apply machine learning and deep learning to the financial industry.

Learn how to use Python-based methods to discover statistical inefficiencies within financial markets.

The book teaches readers how to exploit market inefficiencies through the development of algorithmic trading.

Author Yves Hilpisch offers technical insights suitable for practitioners, students, and academics in finance and data science.

The content covers the integration of AI with both historical and real-time financial data.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 October 2020
Listed Since
26 March 2020

Barcode

No barcode data available

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