Artificial Intelligence in Finance: A Python-Based Guide (Record no. 98805)
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000 -LEADER | |
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fixed length control field | 02322 a2200181 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 241125b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789385889233 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 001.64 |
Cutter | HI:L |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Hilpisch Yves |
245 ## - TITLE STATEMENT | |
Title | Artificial Intelligence in Finance: A Python-Based Guide |
250 ## - EDITION STATEMENT | |
Edition statement | 1st Ed |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | O'Reilly |
Date of publication, distribution, etc | 2020 |
Place of publication, distribution, etc | India |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 480 |
520 ## - Remark | |
Summary, etc | All Indian Reprints of O'Reilly are printed in Grayscale.<br/>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.<br/><br/>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.<br/><br/>In five parts, this guide helps you:<br/><br/>Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI)<br/>Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice<br/>Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets<br/>Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies<br/>Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about.<br/><br/>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 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial Intelligence |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | Information Technology |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Collection Type | Full call number | Barcode | Date last seen | Cost, replacement price | Koha item type |
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Dewey Decimal Classification | Reference book | Main Library | Main Library | Information Technology | 28/10/2024 | Shroff Publishers | 1680.00 | Foreign Book | 001.64 HIL | 119573 | 28/10/2024 | 2100.00 | Book |