Before we cover some Machine Learning finance applications, let’s first understand what Machine Learning is. Machine Learning (ML) is a part of data science that uses different models to analyze data and make predictions. The cool thing about machine learning is that, just like how babies learn to walk and speak through experience, Machine Learning Software also learns how to analyze data from experience. You don’t need to explicitly teach it anything. You simply give it a set of data for which results are already known and let it process it to identify patterns in the data and corresponding results. Different ML…...
John DeCleene Whilst having spent a lot of his life in Asia, John DeCleene has lived and studied all over the world - including spells in Hong Kong, Mexico, The U.S. and China. He graduated with a BA in Political Science from Tulane University in 2016.
Fluent in English and proficient in Mandarin and Spanish, he can communicate and connect with most of the world’s population too, and this certainly helped John as he gained work experience interning for the U.S.-Taiwan Business counsel in Washington D.C. as an investment analyst and then working alongside U.S. Senator Robert P. Casey of Pennsylvania as a legislative intern. He subsequently worked as a business analyst for a mutual fund in Singapore, where his passion for travel and aptitude for creating connections between opportunities and ideas was the perfect intersection of natural ability and experience, spending his time travelling between Cambodia, Hong Kong, and China investigating and discovering untapped investment opportunities.
John is a fund manager for OCIM’s fintech fund, and currently progressing towards becoming a CFA charter holder. He loves to travel for business and pleasure, having visited 38 countries (including North Korea); he represents the new breed of global citizen for the 21st century.