Phil masters the hard art of backing theory by real-life experience. There is always more to learn about data and reinforcement learning... #data
Dr. Phil Winder is a multidisciplinary software engineer and data scientist. As the CEO of Winder Research, a cloud-native data science consultancy, he helps startups and enterprises improve their data-based processes, platforms, and products. Phil specializes in implementing production-grade cloud-native machine learning and was an early champion of the MLOps movement.
More recently, Phil has authored a book on Reinforcement Learning (RL) (https://rl-book.com) which provides an in-depth introduction of industrial RL to engineers.
He has thrilled thousands of engineers with his data science training courses in public, private, and on the O’Reilly online learning platform. Phil’s courses focus on using data science in industry and cover a wide range of hot yet practical topics, from cleaning data to deep reinforcement learning. He is a regular speaker and is active in the data science community.
Phil holds a Ph.D. and M.Eng. in electronic engineering from the University of Hull and lives in Yorkshire, U.K., with his brewing equipment and family.
Topic focus: Data
Check out some of Phil’s past talks:
- GOTO Chicago 2019 - Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
- GOTO Berlin 2017 - The Meaning of (Artificial) Life
- GOTO Amsterdam 2017 - Cloud-Native Data Science