I’m interested in delving into AI applications in finance and was hoping to gather recommendations for essential books, websites, or tutorials on the subject. Whether it’s math-focused, exploring models and concepts, or any other top-notch resource, I’d greatly appreciate any suggestions. Thanks in advance!
Here are the top resources for AI in finance:
- Books:
- “Machine Learning for Algorithmic Trading” by Stefan Jansen
- “Advances in Financial Machine Learning” by Marcos Lopez de Prado
- “Deep Learning for Finance” by Igor Halperin et al.
- “Financial Engineering: The Evolution of a Profession” by Robert L. McDonald
- “Machine Learning and Big Data Analytics for Finance” by Marcus Yiu
- Websites and Blogs:
- Towards Data Science
- QuantInsti Blog
- Machine Learning Mastery
- Tutorials and Courses:
- Coursera: “Machine Learning for Trading” by Tucker Balch
- Udemy: “Machine Learning for Finance” by Frank Kane
- QuantInsti: “Executive Programme in Algorithmic Trading”
These resources cover a range of topics, from introductory concepts to advanced algorithms and applications in finance.
I hope the information has been helpful to you. @Lucypiper
There are a couple of discussion forums: The Artificial Intelligence Forum, which is a popular forum with a lot of discussions ranging from simple questions about AI to dedicated questions for some particular problem being faced while doing some research.
Then there is something called Ai Dreams, where the members take part in projects and experiments and their results and findings are discussed.
Want to learn about AI in finance? Here’s a starter pack for all learning styles:
- Books: “AI for Asset Management” (deeper dive) & “The Quants” (general intro).
- Online Courses: Stanford’s “Machine Learning” on Coursera (foundational) & MIT OpenCourseware’s “Computational Finance” (free, application-focused).
- Hands-on: Kaggle (practice with finance datasets) & GitHub (explore and contribute to AI finance projects).
Bonus tips: Follow industry publications, attend events, and join online communities to stay updated and connected! Good luck on your AI finance journey!
Here are some excellent resources to help you learn about AI applications in finance:
Books:
- “Artificial Intelligence in Finance: From Machine Learning to Algorithmic Trading” by Yves Hilpisch This book provides a comprehensive introduction to AI in finance, covering machine learning, algorithmic trading, and risk management. It’s ideal for those with some background in finance and mathematics.
- “Deep Learning for Asset Management” by Marcos Lopez de Prado This book delves into deep learning and its applications in asset management. It’s more technical than the first book, making it perfect for those interested in how deep learning informs investment decisions.
- “The Quants: How Wall Street Learned to Love Maths” by Scott Patterson This historical book explores the development of quantitative finance and its impact on the financial industry, offering valuable context for understanding AI in finance.
Websites:
- MIT Technology Review - AI in Finance This section covers the latest developments in AI for financial services, including improvements in fraud detection, algorithmic trading, and risk management.
- The Chartered Financial Analyst (CFA) Institute The CFA Institute provides numerous resources on AI in finance, such as articles, webinars, and courses. While some content requires membership, there is also a wealth of free information available.
- Finance Magnates This site offers news and analysis on financial markets, including a section on AI in finance. Topics include the use of AI in customer service and compliance.
Tutorials:
- Machine Learning Crash Course by Google This free online course introduces the basics of machine learning, which are foundational for many AI applications in finance.
- Deeplearning.ai This site offers advanced courses on deep learning, including specific courses on deep learning for finance. These are ideal for those who want a deeper understanding of AI in financial contexts.