Using Reflection

Jeremy Barnes - From a Career in ML to AI for Good

Informações:

Sinopse

Show Notes Topics: Ad Tech, Alpha Go, Amazon Web Services, Applied Mathematics, Churn Modeling, Kubernetes, Ethics of AI, Google, Hydrology, Machine Learning, Managing Engineers, Natural Language Processing, Neural Networks, Open Source, Product Development, Prof. Robert Williamson, Real-Time Bidding (RTB), Social Responsibility, Teamwork and Team Leadership, TensorFlow, Trust, UX (User Experience) Design Companies ElementAI mldb.ai Datacratic Idilia Projects: RTBkit Introduction As a boy, Jeremy Barnes learned from his hydrologist father who was collecting data from small devices in remote terrain that small amounts of data can support useful models and make lives better. These themes shaped his career, as he spent the first two decades studying machine learning and creating systems that created value by creating new knowledge. After founding and selling two startups, and learning the power of open source software to “put ideas into the public record” and influence an industry with RTBkit,