Gradient Descent

We sit down with Erik to discuss gradient descents and how understanding this can lead to demystifying machine learning. We talk about the value of knowing how things work under the covers, as well as maths, functional programming, and many other topics, including why he chose Kotlin, and what he likes and dislikes of the language

About Erik Meijer

Erik Meijer has been trying to bridge the ridge between theory and practice for most of his career. He is perhaps best known for his work on, amongst others, the Haskell, C#, Visual Basic, and Dart programming languages, as well as for his contributions to LINQ and the Reactive Framework (Rx). Most recently he is on a quest to make uncertainty a first-class citizen in mainstream programming languages

Show Notes

Additional notes

Kord: Deep Dive into the Discord API

In this episode, we dive into the complexities of the Discord API, the importance of WebSockets, and the challenges and strategies in building and maintaining a modularized library. We also explore the future of Kord, including moving towards native support and the ongoing effort to keep up with Discord's evolving features. Whether you're a Kotlin enthusiast or a Discord bot developer, this episode is packed with valuable insights and practical advice. Continue reading

What Does the Kotlin Foundation Do?

Published on February 13, 2024