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In this episode, Jesús talks to Mihaela Rosca, Research Engineer at Deepmind. Previously she was a Software Engineer at Google Zurich, working on NLP using neural networks. She is a third year PhD student at UCL under the supervison of Prof. Marc Deisenroth and she finished her 4 year Computing MEng degree from Imperial College London in 2014, with first honours and a prize of excellence for an outstanding overall performance.

Her Professional Interests are: Generative models, reinforcement learning, natural language processing, scalable and safe machine learning. More broadly, she is interested in anything related to learning probability distributions.

Bedrock is a boutique Data Science & AI practitioner and our podcast "Data Stand-up" is aimed to spread scientific knowledge and technical expertise relating to our work with clients. All guests contribute to this knowledge exchange by also sharing their own experiences, learnings, and achievements.
In this episode, Jesús talks to Mihaela Rosca, Research Engineer at Deepmind. Previously she was a Software Engineer at Google Zurich, working on NLP using neural networks. She is a third year PhD student at UCL under the supervison of Prof. Marc Deisenroth and she finished her 4 year Computing MEng degree from Imperial College London in 2014, with first honours and a prize of excellence for an outstanding overall performance. Her Professional Interests are: Generative models, reinforcement learning, natural language processing, scalable and safe machine learning. More broadly, she is interested in anything related to learning probability distributions. Bedrock is a boutique Data Science & AI practitioner and our podcast "Data Stand-up" is aimed to spread scientific knowledge and technical expertise relating to our work with clients. All guests contribute to this knowledge exchange by also sharing their own experiences, learnings, and achievements. read more read less

2 years ago #analytics, #artificial+intelligence, #data, #data+science, #deepmind, #engineer, #future, #google, #machine+learning, #research