Fintech, Machine Learning, R programming, Tech

IIM Fintech Lecture – Indian Institute of Management – Bangalore

In this course I cover the following. I’m flexible with the students’ level of participation in step 5 (ML). Depending on their background and goals, students may choose not to program or actively program in R and/or Python.

0) How much ‘Fin’ and how much ‘Tech’?

1) Banking industry and how it’s reluctance to innovate/adopt led to Fintech. Banks! You can’t bank on them.

2) The ultra-personalisation of financial services through technology – the driver behind Fintech

3) Case Studies – Peer-to-peer lending, Crypto-currencies, Robo-advisers, online-only digital banks

4) My Money Karma

5) Machine Learning using R (or Python)