This is one episode where passion for math, statistics and computers are merged.I have a very interesting conversation with Ravin,  data scientist at Google where he […]

In this episode I am with Matt Forrest, VP of Solutions Engineering at Carto. We speak about machine learning applied to spatial data, spatial SQL and […]

How did we get here? Who invented the methods data scientists use every day? We answer such questions and much more in this wonderful episode with […]

In this episode I speak about AI and cloud automation with Leon Kuperman, co-founder and CTO at CAST AI. Formerly Vice President of Security Products OCI […]

This is the last episode of the series “Embedded ML” and I made it for the bravest 🙂I speak about machine learning compiler optimization to a […]

In this episode I speak about machine learning compilers, the most important tools to bridge the gap between high level frontends, ML backends and hardware target […]

In this episode I speak about neural network quantization, a technique that makes networks feasible for embedded systems and small devices. There are many quantization techniques […]

In Part 2 of Embedded Machine Learning, I speak about one important technique to prune a neural network and perform inference on small devices. Such technique […]

This episode is the first of a series about Embedded Machine Learning. I explain the requirements of tiny devices and how it is possible to run […]