Every week, we talk about important data and analytics topics with data science leaders from around the world on Facebook Live. You can subscribe to the DataTalk podcast on iTunes, Google Play, Stitcher, SoundCloud and Spotify. This data science video and podcast series is part of Experian's effort to help people understand how data-powered decisions can help organizations develop innovative solutions and drive more business. To keep up with upcoming events, join our Data Science Community on Facebook or check out the archive of recent data science videos. To suggest future data science topics or guests, please contact Mike Delgado. In this week's #DataTalk, we talked with Dr. Anima Anandkumar, Principal Scientist at Amazon AI and Bren Professor at Caltech, about what data scientists need to know about deep learning and how to scale deep learning frameworks. Today we're excited to talk about deep learning with Dr. Anima Anandkumar. Anima serves as the principal scientist at Amazon Web Services. Anima earned her BTech in electrical engineering from the Indian Institute of Technology. She also earned her Ph.D. in electrical engineering from Cornell University, and then after that she served as a postdoctoral researcher at MIT. She's the recipient of dozens of awards.

Every week, we talk about important data and analytics topics with top data scientists. These data science chats are hosted by Mike Delgado. Please reach out if you have recommendations for topics or guests. Mike Delgado: Welcome to Experian's Weekly Data Talk, a show featuring some of the smartest people working in data science. Bill, thank you for being part of today's broadcast. Can you share a bit about your background and what got you started working in data science? In the '90s, I came out of industry and went into management consulting. I ran the consulting shop at JD Power and Associates. Then, I moved over into big four consulting at Ernst and Young and PricewaterhouseCoopers.