Q5: Max Margenot – Good (and Not So Good) Uses of Machine Learning in Finance

Chat With Traders

Tessa Dao

Education, Business, Investing

4.9 • 2.3K Ratings

🗓️ 20 December 2016

⏱️ 57 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

Machine learning is a hot topic right now, with a lot of people wondering how it could be used in finance and trading. Used naively, machine learning poses a great deal of risk. We’ll discuss why that’s the case and also some good ways to use it carefully. -- Sponsored by DataCamp.com – Learning to code can be challenging, but with A-grade courses at your fingertips, things are a whole lot easier. Visit DataCamp start today—sign up for free! Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

Click on a timestamp to play from that location

0:00.0	Chat with traders collaboration with Quantopian Episode 5.
0:13.9	Hey, how's it going folks?
0:15.2	Aaron Fifeld here of Chat with traders podcast.
0:18.4	What you're listening to right now is part 5 in a special six part series which is of
0:24.0	course a collaboration with the good people at Quantopian.
0:28.7	In this episode we explore machine learning in trading and in finance.
0:33.6	We talk about what is machine learning, where it's commonly used in everyday life, and
0:38.9	what are some of the good and not so good ways that Quants may use machine learning.
0:44.9	Joining myself and Delaney is Max Margonot.
0:48.8	Max is a data scientist at Quantopian and needless to say he knows a lot about the subject
0:55.0	matter.
0:56.2	Let's run through a few things real quick.
0:59.0	If you have any questions please go to Quantopian.com slash questions.
1:04.8	That's where you can go to submit any questions that you'd like answered on the sixth episode.
1:10.4	For a full list of resources mentioned during this episode simply visit Quantopian.com slash
1:17.6	chat with traders.
1:18.8	You'll find everything there all in one place.
1:21.9	And also props to data camp for sponsoring this series.
1:27.4	As I've been preaching data camp.com in my opinion is probably the best place you could
1:33.4	go to learn how to program, particularly for working with data in languages Python and
1:40.2	R. There are courses some of which are entirely free and talked by talented data scientists
1:46.3	are very interactive.
	...

Please login to see the full transcript.

Previous episode | Next episode

Disclaimer: The podcast and artwork embedded on this page are from Tessa Dao, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Tessa Dao and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.