How to Integrate Machine Learning & Financial Engineering in Finance

The Business Credit and Financing Show

Nội dung được cung cấp bởi Ty Crandall. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Ty Crandall hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

2y ago 27:09

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Peter Millington is an avid participant in fintech and the application of cutting-edge technologies to the financial industry. Pete has spent over 25 years working in quantitative finance and founded Scientific Financial Systems in 2016 to advance the state of the art of data

science, big data, and machine learning in asset management.

During the show we discuss:

● Advantages and disadvantages of integrating machine learning in finance

● How to know who to listen to when it comes to machine learning

● Relationship between artificial intelligence and finance

● Role machine learning will play in finance in the future

● Distinction between finance and financial engineering

● Social media in promotion of machine learning

● What role machine learning play in finance

● The best machine learning available today

● Machine learning in financial engineering

● Machine learning benefits to finance

● How to know the data that’s useful

● What financial engineering entail

● Machine learning in banks

● Financial engineering

Show resources:https://www.scifinsys.com/

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