The Data Exchange Podcast: Joel Grus on mastering tools for programming, data science, and machine learning.
Assessing Models and Simulations of Epidemic Infectious Diseases
The Data Exchange Podcast: Bruno Gonçalves on reading epidemic models and time-series analysis.
Improving the hiring pipeline for software engineers
The Data Exchange Podcast: Karthik Ramasamy and Arun Kejariwal on best practices for preliminary screening, onsite interviews, coding exercises, and…
How to build state-of-the-art chatbots
The Data Exchange Podcast: Lauren Kunze on the state of chatbots and best practices for building conversational applications.
Democratizing Machine Learning
The Data Exchange Podcast: Ameet Talwalkar on the Determined Training Platform, Neural Architecture Search, Federated Learning and more.
How graph technologies are being used to solve complex business problems
The Data Exchange Podcast: Denise Gosnell on tools for unlocking the interconnectedness of your data.
Machines for unlocking the deluge of COVID-19 papers, articles, and conversations
The Data Exchange Podcast: Amy Heineike on deploying language technologies to a wide range of domains.
Designing machine learning models for both consumer and industrial applications
The Data Exchange Podcast: Christopher Nguyen on taking a relationship-centric approach to designing data applications.
Building open source developer tools for language applications
The Data Exchange Podcast: Matthew Honnibal on spaCy, Thinc, Prodigy and natural language technologies.
Viewing machine learning and data science applications as sociotechnical systems
The Data Exchange Podcast: Chris Wiggins on training the next-generation of data scientists on ethics and fairness in ML.