Pie & AI: TensorFlow Specialization Launch @ Google HQ
To celebrate the launch of the final course in the deeplearning.ai TensorFlow Specialization, we hosted our third Pie & AI meetup at Google’s headquarters in Sunnyvale! Andrew was joined by TensorFlow Specialization instructor Laurence Moroney,…
How to Develop Your Own AI Playbook: Andrew Ng and Will Knight at MIT Tech Review’s 2019 EmTech Digital
Andrew Ng and MIT Tech Review’s Senior AI Editor Will Knight close out EmTech Digital on March 26, 2019 in San Francisco. Andrew reflects on how his own experiences leading the Google Brain team and…
Working AI: At the Office with MLE Ruben Sipos
Location: San Francisco, California Age: 33 Education: B.Sc. in Computer Science and Mathematics, 2009, University of Ljubljana, PhD in Computer Science, 2014, Cornell University Years in industry: 5 Favorite movie: Event Horizon (1997) Favorite machine learning researcher: Thorsten…
Working AI: At the Office with Data Scientist Joe Gambino
Working at IDEO has let me work on a wide range of problems: I’ve used clustering and dimensionality reduction to create a prototype that communicates health data while encouraging empathy and engagement. I’ve run traffic simulations to assess the size of delivery markets and prototyped animated, interactive explanations inspired by those simulations. I’ve built internal React web-apps for collecting data and texting customers.
Working AI: At the Office with Applied Scientist Matineh Shaker
How is an Applied Scientist different from a Machine Learning Engineer? We went to straight to the source and interviewed Microsoft Applied Scientist Matineh Shaker about how she got here, what she’s working on, and how she keeps learning.