What exactly is "data science" these days? (Practical AI #80)

What exactly is "data science" these days? (P...

Up next

Selling SDKs in the era of many Claudes (Changelog Interviews #677)

Steve Ruiz joins us for a deep-dive on tldraw (a very good free whiteboard) and the business he's built selling SDKs that help others build very good whiteboards (and more) with tldraw's high-performance web canvas. Along the way, we discuss the excitement/fear we share about kee ...  Show more

All the Claw things (Changelog News #181)

Peter Steinberger joins OpenAI, ZeroClaw is "claw done right", MimiClaw runs on a $5 chip, Steve Yegge on managing the AI Vampire, and the day the telnet died. 

Recommended Episodes

Building the world's most popular data science platform
Practical AI

Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us ...  Show more

Exploring The Design And Benefits Of The Modern Data Stack
Data Engineering Podcast

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

We have been building platforms and workflows to store, process, and analyze data since the earliest days of computing. Over that time there have been countless architectures, patterns, and "best practices" to ...

  Show more

AI in the browser
Practical AI

We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss Tenso ...  Show more

Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology
IT Visionaries

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