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Artificial Intelligence in Finance: A Python-Based Guide
Explores the integration of AI, particularly deep learning and reinforcement learning, with financial concepts. It contrasts normative financial theories like CAPM and APT with data-driven approaches, highlighting the limitations of traditional models. The content also details practical applications through Python code examples, covering topics such as data availability and processing, neural network architectures, and the development and backtesting of AI-driven trading bots. Furthermore, it discusses the broader implications of AI in finance, including competition, resource allocation, and the potential for a "financial singularity."
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Artificial-Intelligence-Finance-Python-Based-Guide/dp/1492055433?&linkCode=ll1&tag=cvthunderx-20&linkId=b138f226f53e7346c4aaa2c9067bb7e0&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Artificial-Intelligence-Finance-Python-Based-Guide/dp/1492055433?&linkCode=ll1&tag=cvthunderx-20&linkId=b138f226f53e7346c4aaa2c9067bb7e0&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
View all episodes
By CyberSecurity Summary
2.2
55 ratings
Explores the integration of AI, particularly deep learning and reinforcement learning, with financial concepts. It contrasts normative financial theories like CAPM and APT with data-driven approaches, highlighting the limitations of traditional models. The content also details practical applications through Python code examples, covering topics such as data availability and processing, neural network architectures, and the development and backtesting of AI-driven trading bots. Furthermore, it discusses the broader implications of AI in finance, including competition, resource allocation, and the potential for a "financial singularity."
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Artificial-Intelligence-Finance-Python-Based-Guide/dp/1492055433?&linkCode=ll1&tag=cvthunderx-20&linkId=b138f226f53e7346c4aaa2c9067bb7e0&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Artificial-Intelligence-Finance-Python-Based-Guide/dp/1492055433?&linkCode=ll1&tag=cvthunderx-20&linkId=b138f226f53e7346c4aaa2c9067bb7e0&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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