

Q5: Max Margenot – Good (and Not So Good) Uses of Machine Learning in Finance
Dec 20, 2016
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Introduction
00:00 • 3min
How I Got Into Cryptocurrencies
02:52 • 2min
Quantypia: A Quantitative Finance Lecture Series
04:29 • 2min
Machine Learning and the Hype Cycle
06:04 • 2min
Machine Learning and Credit Card Fraud
07:59 • 5min
Unsupervised Learning: A Way to Market Fraud
12:30 • 3min
Unsupervised vs. Unsupervised Machine Learning Algorithms for Credit Card Fraud
15:34 • 2min
The Hype Cycle of Machine Learning
17:18 • 4min
The Benefits of Machine Learning in Finance
20:50 • 2min
Machine Learning: The Power of Structured Data
22:51 • 6min
Machine Learning and the Future of Trading
28:21 • 2min
How to Use Machine Learning to Predict Future Prices
30:34 • 6min
The Importance of Simple Machine Learning Models
36:29 • 5min
How to Separate Noise From Signal in a Model
41:33 • 5min
How to Implement Machine Learning in a Trading Algorithm
46:47 • 3min
Python for Machine Learning
49:49 • 2min
How to Learn Machine Learning in Python
51:33 • 3min
How to Answer Questions on the Quantopion Podcast
54:10 • 2min