Machine Learning

Evangelos Simoudis on data mining, investing in data startups, and corporate innovation.

Turning Big Data Into Actionable Insights

Emil Eifrem, CEO and co-founder of Neo Technology, on the early days of NoSQL, applications of graph databases, cloud computing, and company culture in the U.S. and Sweden.

Graph Databases are Powering Mission-Critical Applications

O'Reilly's Ben Lorica chats with Eric Colson, chief algorithms officer at Stitch Fix, and former VP of data science and engineering at Netflix. They talk about building and deploying mission-critical, human-in-the-loop systems for consumer Internet companies. 

Building a Business That Combines Human Experts and Data Science

David Beyer, co-founder and CEO of Chart.io, principal at Amplify Partners, and part of the founding team at Patients Know Best, chats with Risto Miikkulainen, professor of computer science and neuroscience at the University of Texas at Austin. They chat about evolutionary computation, its applications in deep learning, and how it’s inspired by biology.

Risto Miikkulainen on Evolutionary Computation and Making Robots Think For Themselves

In this episode of the O’Reilly Data Show, I spoke with Fang Yu, co-founder and CTO of DataVisor. We discussed her days as a researcher at Microsoft, the application of data science and distributed computing to security, and hiring and training data scientists and engineers for the security domain.

Using Apache Spark to Predict Attack Vectors Among Billions of Users and Trillions of Events

In this episode of the O’Reilly Data Show, I spoke with M.C. Srivas, co-founder of MapR and currently chief architect for data at Uber. We discussed his long career in data management and his experience building a variety of distributed systems. In the course of his career, Srivas has architected key components that now comprise many data platforms (distributed file system, database, query engine, messaging system, etc.).

Machine Learning

Paul Reilly 1