Artificial intelligence in finance : a Python-based guide
"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&...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo :
O′Reilly,
2020
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| Genre/form: | učebnice |
| ISBN: | 978-1-492-05543-3 |
| Subjects: | |
| Tags: |
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finance
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| Summary: | "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."--Nakladatelská anotace |
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| Physical Description: | xvii, 455 stran : ilustrace ; 24 cm |
| Bibliography: | Obsahuje bibliografie a rejstřík |
| Edition: | First edition |