The Quant / Financial Engineering Podcast

Machine Learning and Data Science in Finance

Feb 16, 2021

43:34

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Highlights

AI Chapters

Episode notes

Cloud Computing and Machine Learning

01:36

Machine Learning Models for Fraud Detection

03:53

Is Machine Learning Used in Machine Learning?

01:34

Introduction

5min

Is There a New Paradigm for Machine Learning?

2min

AI Machine Learning and Deep Learning

4min

Is Machine Learning Used in Machine Learning?

2min

Portfolio Management

5min

Using Machine Learning and AI in a Robot Advisor

2min

Risk Management

4min

Machine Learning Models for Fraud Detection

4min

Is Credit Default Like Fraud Detection?

2min

10.

How to Approach Trading Algorithm Using Machine Learning

6min

11.

NLP Natural Language Processing Sentiment Analysis

2min

12.

Cloud Computing and Machine Learning

2min

13.

Machine Learning and Data Science

3min

14.

The Power of Machine Learning

3min

Patrick Zoro welcomes a machine learning expert and explore the finance applications. Hariom Tatsat currently works as a Vice President in the Quantitative Analytics division of an investment bank in New York. Hariom has extensive experience as a Quant in the areas of predictive modelling, and financial instrument pricing in several global investment banks and financial organizations. Hariom is the co-author of the book "Blueprints for Machine Learning and Data science in Finance". Patrick Zoro is Professor of Practice and a director of the Master in Financial Engineering Program https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering