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 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 Kristen Hammilton, CEO & Founder of Koru, about the future of recruitment using predictive hiring. This is going to be a very exciting chat because we're talking about AI and how it's helping recruiters find the right candidates for jobs, and it's actually a fascinating field. Has to do with prediction, has to do with artificial intelligence, and I'm very excited to talk to Kristen Hamilton, who is the CEO and co-founder of a company called Koru, based in Seattle, and Kristen, great to have you on our show today. Kristen: Michael, it's really great to be here, thanks. Mike: So Kristen, can you kind of tell us about your journey that brought you into working in data science? I think every entrepreneurial journey starts with a problem that you've become impassioned with, that you really can't sleep well at night until you figure out how to solve. And the challenge that we initially started facing was actually the gap between education and employment.

Every week, we talk about important data and analytics topics with top data scientists on Facebook Live. In our upcoming #DataTalk, we're talking with Dr. Lindsey Zuloaga about how recruitment teams are using artificial intelligence to help them with their work. Get the video link and reminder to watch the Facebook Live event. To suggest future data science topics or guests, please contact Mike Delgado. Dr. Lindsey Zuloaga is the Director of Data Science at HireVue.

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.

We believe that big data is good. In our recent #DataTalk, we had a chance to talk with Jenna Lake about how computer vision and machine learning is helping sports teams understand, evaluate and improve their performance. Jenna Lake is a Computer Vision Engineer at Second Spectrum. She earned a Master of Science in Computer Vision from Carnegie Mellon University and Bachelor's of Science Degrees in Computer Science and Biometric Systems at West Virginia University. She is passionate about finding creative solutions to improve the efficiency of Computer Vision algorithms.