Podcasts

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.

Victor Dibia on TensorFlow.js and Building Machine Learning Models with JavaScript

Victor Dibia is a research engineer with Cloudera’s Fast Forward Labs. On today’s podcast, Wes Reisz and Victor Dibia talk about the realities of building machine learning in the browser. The two discuss the capabilities, limitations, process, and realities around using TensorFlow.js.