InfoQ Homepage Machine Learning Content on InfoQ
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Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning
In this podcast Dr Phil Winder, CEO of Winder Research, sits down with InfoQ podcast co-host Charles Humble. They discuss: the history of Reinforcement Learning (RL); the application of RL in fields such as robotics and content discovery; scaling RL models and running them in production; and ethical considerations for RL.
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Carin Meier Using Machine Learning to Combat Major Illnesses, Such as the Coronavirus
Carin Meier of Reify Health sits down with Wesley Reisz and discusses how machine learning is being used to combat major illnesses (such as the coronavirus). After a short discussion on some of the work being done today, the two shift into a discussion on the challenges of working with healthcare data and machine learning. Topics around safety, ethics, and explainability are discussed.
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Josh Wills on Building Resilient Data Engineering and Machine Learning Products at Slack
Josh Wills, a software engineer working on data engineering problems at Slack, discusses the Slack data architecture and how they build and observe their pipelines.
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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.
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Piero Molino on Ludwig, a Code-Free Deep Learning Toolbox
Ludwig is a code-free deep learning toolbox originally created and open sourced by UberAI. On this podcast, the creator of Ludwig Piero Molino and Wes Reisz discuss the project.