In this episode I make a non exhaustive list of machine learning tools and frameworks, written in Rust. Not all of them are mature enough for production environments. I believe that community effort can change this very quickly.
To make a comparison with the Python ecosystem I will cover frameworks for linear algebra (numpy), dataframes (pandas), off-the-she ... Show More
May 30
The propaganda algorithm (Ep. 308)
Modern propaganda isn’t random noise. It’s a repeatable, engineered algorithm that starts with ideology, weaponizes identity, and manufactures conflict. Once you see the pattern, you can’t unsee it. What happens with AI? Buy me a coffee https://ko-fi.com/datascience Discord Chann ... Show More
15m 30s
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 ... 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 ... Show More
55m 10s
Jul 2023
AI Today Podcast: AI Glossary Series – 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 it’s important to know about them.
Show Notes:
FREE Intro to CPMAI mini course
CPMAI Training and C ... 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 ... Show More
48m 19s
