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Josh and I had a wonderful discussion and, as you might have guessed if you happen to have noticed the length of this episode, we covered quite a lot of ground. But I promise you’ll find this 84-minute interview to be jam-packed with great information, ideas and war stories.
You’ll learn how Josh and his research group at Berkeley pioneered the use of machine learning for the analysis of images from robotic infrared telescopes; we talk extensively about the challenges they faced in doing this and some of the results they achieved. We discuss the founding of his company, Wise.io, which uses machine learning to help customers deliver better customer support. That wasn’t where the company started though, and you’ll hear why and how they evolved to serve this market. We talk about his company’s technology stack and data science pipeline in fair detail, and discuss some of the key technology decisions they’ve made in building their product. We also discuss some interesting open research challenges in machine learning and AI.
About Joshua Bloom
- Joshua Bloom on LinkedIn
- Joshua Bloom (@profjsb) on Twitter
- Josh’s Faculty Profile at Berkeley
- Josh’s personal web page
Mentioned in the Interview
- [1110.6201] Supernova 2011fe from an Exploding Carbon-Oxygen White Dwarf Star
- Weka 3 – Data Mining with Open Source Machine Learning Software in Java
- wiseio/datascience-docker: Docker images for data science from Wise.io
- wiseio/paratext: A library for reading text files over multiple cores.
- Towards Cost-Optimized Artificial Intelligence
- Machine Learning: The High Interest Credit Card of Technical Debt
- Python for Data Science course