474: The Machine Learning House

Creative human-AI partnerships and AI-generated music: WaveAI CEO and co-founder Maya Ackerman speaks with Jon Krohn about learning to see – and accept – AI’s potential as a creative partner in a human-centric, AI-forward future. Listen to the episode to hear Maya Ackerman discus ... Show More

What’s on the horizon for AI? Jon Krohn wades through opinions from more than experts, curated by the Longitudinal Expert AI Panel (LEAP), about what we can expect from the industry. From estimates on AI-assisted workers through energy consumption to AI performance in highly skil ... Show More

Vijoy Pandey imagines a bold new society in which agents and humans make scientific discoveries and complete physical tasks together, and he tells Jon Krohn about his work at AGNTCY, Cisco’s open-source platform for the Internet of Agents. Listen to the episode to hear Vijoy Pand ... Show More

The EXPLORE Data Science Academy (EDSA) is a premier data science academy in South Africa that offers students an intensive one-year training course and provides a fundamental understanding of software development and cloud computing technologies. In this episode, Simon speaks wi ... Show More

<p>This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin,  data scientist at Google where he uses data to inform decisions.</p> <p>He has previously worked at Sweetgreen, designing systems that would b ... Show More

<p>What actually *is* data science, and what does a data scientist do? What kind of backgrounds do data scientists come from and what skills do you need to be one? In this episode we start with the basics—declaring once and for all what is data science anyway and exploring how th ... Show More

<p>The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ... Show More

From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and i ... Show More

<p>Sabrina is a Commercial Software Engineer and serial hacker who has attended over 32 hackathons! She was also a guest lecturer at the University of Toronto on Machine Learning and Artificial Intelligence. Today she sits down and gets Scott (and you!) started with the basics of ... Show More

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. This week's show covers the International Conference on Machine Learning (ICML), new research on "dueling architectures" ... 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 the episode today, we'll talk about the trie data structure. You'll learn what tries are, how you can use them in practice, and how to implement them in your favorite programming language! 

Want to learn about AI and machine learning? There are plenty of resources out there to help — blogs, podcasts, YouTube tutorials — perhaps too many. Machine learning engineer Santiago Valdarrama has taken a far more focused approach to helping us all get smarter about the field. ... Show More