SE Radio 594: Sean Moriarity on Deep Learning...

In this episode, host Amey Ambade sits with Eric Tschetter, co-founder of Apache Druid and Chief Architect at Imply, to dissect the critical move toward Decoupling Observability. To begin, they define three pillars—logs, metrics, and traces—and consider why the rise of microservi ...  Show more

Martin Kleppmann, Associate Professor at the University of Cambridge and author of the best-selling O'Reilly book Designing Data-Intensive Applications, talks to host Adi Narayan about local-first collaboration software. They discuss what the term means, how it leads to simpler a ...  Show more

In this podcast, Nora Jones, Co-Founder and CEO at Jeli and co-author of O’Reilly’s “Chaos Engineering: System Resiliency in Practice”, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: chaos engineering and resilience engineering, planning and running ...  Show more

In this episode, I explore the cutting-edge technology of graph neural networks (GNNs) and how they are revolutionizing the field of artificial intelligence. I break down the complex concepts behind GNNs and explain how they work by modeling the relationships between data poin ...

Preamble This is a cross-over episode from our new show The Machine Learning Podcast, the show about going from idea to production with machine learning. Summary The majority of machine learning projects that you read about or work on are built around batch processes. The model i ...  Show more

Le deep learning ou l’apprentissage profond est un type d'intelligence artificielle dérivé du machine learning qui signifie lui apprentissage automatique. Ici, la machine est capable d'apprendre par elle-même, contrairement à la programmation où elle se contente d'exécuter à la l ...  Show more