šļø In this episode of Data Science at Home, we sit down with Kenny Vaneetvelde, the mastermind behind Atomic Agents, a groundbreaking framework redefining AI development.
Ā
š Discover how atomicity simplifies complex AI systems, why modularity matters more than ever, and how Atomic Agents is eliminating hidden assumptions and redundant complexity in AI wor ...Ā Show More
Oct 16
The Scientists Growing Living Computers in Swiss Labs (Ep. 292)
Fred Jordan, Co-CEO of FinalSpark, takes us inside the radical world of biological computing, where real neurons extracted from human tissue are being trained to solve problems that would require 10 megawatts in silicon. We explore the life support systems keeping these "wetware" ...Ā Show More
37m 45s
Feb 2017
MLG 004 Algorithms - Intuition
<div> <p>Machine learning consists of three steps: prediction, error evaluation, and learning, implemented by training algorithms on large datasets to build models that can make decisions or classifications. The primary categories of machine learning algorithms are supervised, un ...Ā Show More
23m 27s
Jun 2024
SE Radio 622: Wolf Vollprecht on Python Tooling in Rust
<p><strong>Wolf Vollprecht</strong>, the CEO and founder of Prefix.dev, speaks with host Gregory M. Kapfhammer about how to implement Python tools, such as package managers, in the Rust programming language. They discuss the challenges associated with building Python infrastructu ...Ā Show More
55m 10s
Jul 2023
AI Today Podcast: AI Glossary Series ā Data Science Notebooks, Jupyter, Colab
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Science Notebooks, Jupyter, Colab, explain how these terms relate to AI and why itās important to know about them.
Show Notes:
FREE Intro to CPMAI mini course
CPMAI Training and C ...Ā Show More
11 m
Nov 2024
SE Radio 641: Catherine Nelson on Machine Learning in Data Science
<p><strong>Catherine Nelson</strong>, author of the new O'Reilly book, <em data-renderer-mark="true">Software Engineering for Data Scientists</em>, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and ...Ā Show More
48m 19s