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Best practices for building conversational AI applications

The Data Exchange Podcast: Alan Nichol on applying software engineering rigor to building contextual assistants.

infrastructure, nlp

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…

infrastructure, ray

From Python beginner to seasoned software engineer

The Data Exchange Podcast: Joel Grus on mastering tools for programming, data science, and machine learning.

nlp, python

Assessing Models and Simulations of Epidemic Infectious Diseases

The Data Exchange Podcast: Bruno Gonçalves on reading epidemic models and time-series analysis.

pandemic, time-series

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…

hiring

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.

bot, nlp

Democratizing Machine Learning

The Data Exchange Podcast: Ameet Talwalkar on the Determined Training Platform, Neural Architecture Search, Federated Learning and more.

infrastructure, ml-ops

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.

graph, infrastructure, transcript

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.

nlp, pandemic

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.

business

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