Watch Rachel Thomas’s talk, “How to Learn Deep Learning (When You’re Not a Computer Science PhD)” from the free, live online Demystifying Data Science conference hosted by Metis on September 27, 2017. Rachel Thomas has a math Ph.D. from Duke and was selected by Forbes as one of “20 Incredible Women Advancing AI Research”. She is co-founder of fast.ai and a researcher-in-residence at the University of San Francisco Data Institute. Her background includes working as a quant in energy trading, a data scientist + backend engineer at Uber, and a full-stack software instructor at Hackbright.
About The Webinar Digital Twin is one of the purpose driven Digital transformation themes to reduce operational costs or innovate with new revenue streams for the manufacturing organizations. If properly strategized & implemented, Digital twins have the potential to become a game changer for the organizations to create sustainable competitive advantage. In this webinar, the speakers simplify the definition of digital twins including the application streams, focus on key problems that digital twins solve for manufacturing organizations, and present a case study from automotive industry for digital twin solution implementation based on their experiences.
Vox Pop interview with Richard Socher, Chief Scientist at Salesforce, on demystifying artificial intelligence. See the full blog here on AI: Everything you need to know – https://www.salesforce.com/au/blog/2017/06/ai–everything-you-need-to-know.html