Machine Learning for all with TensorFlow...

On this special episode of Hanselminutes, Scott reunites with .NET Principal Engineer Safia Abdalla, nearly 500 episodes and a decade after her first appearance on the show. They reflect on the arc of her career and the evolution of the developer landscape, discussing how buildin ... Show More

On this episode of Hanselminutes, Scott Hanselman sits down with Netlify CEO Mathias Biilmann, who coined the term Jamstack, to talk about the future of web development in the age of AI. Recorded shortly before the announcement at Netlify Deploy, the conversation explores Netlify ... Show More

In this episode of Hanselminutes, Scott Hanselman talks with Tuple engineer Johnny Marler about the craft and culture of pair programming. They explore how intentional collaboration can sharpen problem-solving, reduce context switching, and build trust between teammates—especiall ... Show More

Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the ma ... Show More

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

In this episode, i'm joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algeb ... Show More

What is machine learning? How is it transforming our lives and workplaces? What might the future hold? Pedro Domingos of the University of Washington and author of The Master Algorithm talks with EconTalk host Russ Roberts about the present and future of machine learning. Domingo ... Show More

Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning. Learn more about your ad-choices at https://www.iheartpodcastnetwork.comSee omnystudio ... Show More

Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning.  See omnystudio.com/listener for privacy information. 

Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author of Machine Learning in Elixir and Genetic Algorithms in Elixir, published by the Pragmatic Bookshelf, speaks with SE Radio host Gavin Henry about what deep learning (neural netwo ... Show More

What does it mean to understand a neural network? That’s the question posted on this arXiv paper. Kyle speaks with Tim Lillicrap about this and several other big questions. 

Scott Wu loves code. He grew up competing in the International Olympiad in Informatics (IOI) and is a world class coder, and now he's building an AI agent designed to create more, not fewer, human engineers. This week on No Priors, Sarah and Elad talk to Scott, the co-founder and ... Show More

Kevin is a Computer Scientist, part-time lecturer at Paul G. Allen School of Computer Science & Engineering, and research partner at OSAM. Our discussion with Kevin revolves around: What is Machine Learning (ML)? Biases in ML algorithms Application of ML in medicine, markets, and ... Show More