The Data Exchange Podcast: Kira Radinsky on clinical triage, epidemiological maps, and predictive AI tools.
Connecting Reinforcement Learning to Simulation Software
The Data Exchange Podcast: Max Pumperla on why he’s bullish on Tune, training data scientists, and contributing to open source.
Using machine learning to detect shifts in government policy
The Data Exchange Podcast: Weifeng Zhong on bringing NLP and machine learning to economic policy studies.
What is AI Assurance?
The Data Exchange Podcast: Ofer Razon on building machine learning tools to scale AI operations.
Best practices for building conversational AI applications
The Data Exchange Podcast: Alan Nichol on applying software engineering rigor to building contextual assistants.
Tools for scaling machine learning
The Data Exchange Podcast: Paco Nathan, Jenn Webb, and Ben Lorica on Ray as a framework for building frameworks, and…
From Python beginner to seasoned software engineer
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.