Artificial Intelligence in Finance: A Python-Based Guide
暫譯: 金融中的人工智慧：基於 Python 的指南
Hilpisch, Yves
- 出版商: O'Reilly
- 出版日期: 2020-11-17
- 定價: $3,130
- 售價: 9.0 折 $2,817
- 語言: 英文
- 頁數: 478
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492055433
- ISBN-13: 9781492055433
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相關分類:
Python、程式語言、人工智慧
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相關翻譯:
金融人工智能：用Python實現AI量化交易 (簡中版)
金融 AI｜人工智慧的金融應用 (繁中版)
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商品描述
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
商品描述(中文翻譯)
人工智慧（AI）和機器學習的廣泛應用正在徹底改變許多行業。一旦這些技術與歷史和即時金融數據的程式化可用性結合，金融行業也將根本改變。在這本實用的書中，您將學習如何使用 AI 和機器學習來發現金融市場中的統計低效，並通過算法交易來利用這些低效。
作者 Yves Hilpisch 向金融和數據科學領域的從業者、學生和學者展示了將機器學習和深度學習算法應用於金融的實用方法。得益於大量獨立的 Python 範例，您將能夠重現書中呈現的所有結果和圖表。
本指南分為五個部分，幫助您：
- 學習 AI 的核心概念和算法，包括通往人工通用智慧（AGI）和超智慧（SI）的最新突破
- 理解為何數據驅動的金融、AI 和機器學習將對金融理論和實踐產生持久影響
- 應用神經網絡和強化學習來發現金融市場中的統計低效
- 通過回測和算法交易（即自動執行交易策略）來識別和利用經濟低效
- 理解 AI 將如何影響金融行業的競爭動態，以及金融奇點的潛在出現可能帶來的影響
作者簡介
Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http: //tpq.io), a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance. He is the author of the books Python for Finance (O'Reilly, 2014), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program (http: //cqf.com), on data science at htw saar University of Applied Sciences (http: //htwsaar.de), and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).
作者簡介(中文翻譯)
Dr. Yves J. Hilpisch 是 The Python Quants（http://tpq.io）的創辦人及管理合夥人，該團體專注於使用開源技術進行金融數據科學、算法交易和計算金融。他是《Python for Finance》（O'Reilly, 2014）、《Derivatives Analytics with Python》（Wiley, 2015）和《Listed Volatility and Variance Derivatives》（Wiley, 2017）等書籍的作者。Yves 在 CQF Program（http://cqf.com）教授計算金融，在 htw saar 應用科技大學（http://htwsaar.de）教授數據科學，並擔任線上培訓計劃的負責人，該計劃頒發第一個 Python for Finance 大學證書（由 htw saar 頒發）。
