![Jeff Ma – Making Decisions with Data - [Invest Like the Best, EP.151]](https://megaphone.imgix.net/podcasts/0d21b2f8-ccce-11ed-87bf-672b79ebf576/image/Jeff_Ma.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress)
Invest Like the Best with Patrick O'Shaughnessy
Jeff Ma – Making Decisions with Data - [Invest Like the Best, EP.151]
Conversations with the best investors and business leaders in the world. We explore their ideas, methods, and stories to help you better invest your time and money. Hear stock market and boardroom insights you can't find anywhere else. If you're a professional investor, CEO, entrepreneur, or business strategist, this is for you. Explore all our episodes and learn more at https://www.colossus.com
Show Notes
Tap timecodes to jump
My guest this week is Jeff Ma. Jeff was on the famous MIT Blackjack team from the book Bringing Down the House but has spent his career in an around fields of analytics and data science. He’s studied sports betting and analytics, built companies for analyzing human capital, and ran the data science and analytics group at Twitter. Here are links to his book, blog, and podcast. Our discussion is about a number of fascinating ways data is being used to make decisions in the worlds of sports and business. Please enjoy!
For more episodes go to InvestorFieldGuide.com/podcast.
Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub.
Follow Patrick on Twitter at @patrick_oshag
Show Notes
(First Question) – How quantitative analytics have evolved in sports and how they’re being used
– Best role of humans in the analysis process
– Sports that are most interesting to observe through analytics
– How does luck play into sports analysis
– Team analytics vs better analytics
– Concentration of success among sports betters and their moats
– Favorite lessons learned from professional gamblers
– How analytics got introduced into gambling
– Understanding one’s own biases
– How he became VP of analytics at Twitter
– Primary lessons from the work evaluating human capital and talent with analytics
– Niel Roberson Podcast Episode
– How to model people for success when hiring
– How to hire the right data scientists’ team
– Most interesting problems they tackled at twitter
– Responsibility of social platforms to police itself
– Areas that would interest him in the future as an investor
– Kindest thing anyone has done for Jeff
– Values instilled in him by his parents.
Learn More
For more episodes go to InvestorFieldGuide.com/podcast.
Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub
Follow Patrick on twitter at @patrick_oshag
This episode is not processed yet. Sign in to queue the transcript and make it useful for search and Q&A.
Sign in to queue transcript (1 credit)
Free to start
Skim the episode first,
Skim the episode first,
then decide if it is worth listening.
Sign up with Google in one click. 10 transcript credits included. No card needed.
Google sign-in · No credit card · 10 free transcript credits