Artificial Intelligence in Finance: A Python-Based Guide

By:

Hilpisch Yves

Publication details: O'Reilly 2020 IndiaEdition: 1st EdDescription: 480ISBN:

9789385889233

Subject(s):

Artificial Intelligence

DDC classification:

001.64 HI:L

Summary: All Indian Reprints of O'Reilly are printed in Grayscale. The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. 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 backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about. Source: https://www.amazon.in/Artificial-Intelligence-Finance-Python-Based-Grayscale/dp/9385889230/ref=sr_1_1?crid=1LG8P4BQRDSJM&dib=eyJ2IjoiMSJ9.1ew7hcrMzbu2W6DY20mYZg.ot5z5xKi98GUDbgS9FeijVvKjQ_1i_8WNNtZUdz_QXg&dib_tag=se&keywords=9789385889233&qid=1732521686&sprefix=9798986924021%2Caps%2C207&sr=8-1

List(s) this item appears in: New Arrivals December 2024 | Artificial Intelligence

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Holdings
Cover image	Item type	Current library	Collection	Call number	Status	Date due	Barcode
	Book	Main Library Information Technology	Reference book	001.64 HIL (Browse shelf(Opens below))	Available		119573

All Indian Reprints of O'Reilly are printed in Grayscale.
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. 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 backtesting and algorithmic trading--the automated execution of trading strategies
Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about.

Source: https://www.amazon.in/Artificial-Intelligence-Finance-Python-Based-Grayscale/dp/9385889230/ref=sr_1_1?crid=1LG8P4BQRDSJM&dib=eyJ2IjoiMSJ9.1ew7hcrMzbu2W6DY20mYZg.ot5z5xKi98GUDbgS9FeijVvKjQ_1i_8WNNtZUdz_QXg&dib_tag=se&keywords=9789385889233&qid=1732521686&sprefix=9798986924021%2Caps%2C207&sr=8-1

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