Podcasts

Generally AI Episode 4: Sold out!

In this episode of Generally AI, Meertens and Alford explore the theme of "sold out" and delve into the world of GPUs, hot sauce, and beer. The hosts cover CUDA-enabled GPUs and parallel programming patterns, then explore the parallels between the scarcity of GPUs and Sriracha hot sauce; the historical context of GPU shortages; and how beer and college students can model supply chain dynamics.

Getting Value out of an ML Model with Philip Howes

We are talking with Philip Howes about how to get value from your ML model as fast as possible. We will also talk about how to improve your deployed model, and what tools you can use when setting up ML projects. We conclude by discussing how stakeholders should be involved, and what makes up a complete ML team.

Rosaria Silipo on Codeless Deep Learning and Visual Programming

In the podcast, Rosaria Silipo talks about the emerging trends in deep learning, with focus on low code visual programming to help data scientists apply deep learning techniques without having to code the solution from scratch.

Francesca Lazzeri on Machine Learning for Time Series Forecasting

In the podcast, we speak with Dr. Francesca Lazzeri on machine learning for time series forecasting as the main topic which included automated machine learning and deep learning for time series data forecasting, as well as other emerging trends in machine learning development and operations areas including data science lifecycle.