For Freelancers
For Employers
Screening Proces

Worksuite Podcasts

Machine learning for fraud detection

Ravelin's senior data scientist and Forbes 30 Under 30 Stephen Whitworth discusses why we use machine learning for fraud detection.

Building Data Science Teams

We live in a world that’s increasingly fueled by data and analytics. But for companies to unlock the value all of that information represents, and improve business processes, they need some very specialized help. In this episode, Jon Prial talks to Georgian Partners’ own Chief Analytics Officer Chris Matys about data scientists. Find out what they do, where you can find them, and what it takes to build a successful data science team.

a16z Podcast: Making Sense of Big Data, Machine Learning, and Deep Learning

``Machine learning is to big data as human learning is to life experience,`` says Christopher Nguyen, the co-founder and CEO of big data intelligence company Adatao. Sure, but then, what IS big data? (especially as it's become a buzzword that captures so many things)...

a16z Podcast: The Product Edge in Machine Learning Startups

A lot of machine learning startups initially feel a bit of “impostor syndrome” around competing with big companies, because (the argument goes), those companies have all the data; surely we can’t beat that! Yet there are many ways startups can, and do, successfully compete with big companies. You can actually achieve great results in a lot of areas even with a relatively small data set, argue the guests on this podcast, if you build the right product on top of it.

Decision Intelligence

What is decision intelligence? How does it tie into the world of data science? And what does Google have to do with it all? Click on the above SoundCloud link and find out!

Data Science to end poverty

Ofir Reich on using data science to end poverty and the spurious action/inaction distinction

a16z Podcast: Data Network Effects

If network effects are one of the most important concepts for software-based businesses, then that may be especially true of data network effects -- a network effect that results from data. Particularly given the prevalence of machine learning and deep learning in startups today.

SDS 001 : Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel

In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.