Improving Upon a First-Draft Data Science Analysis
Linear Digressions30 Loka 2017

Improving Upon a First-Draft Data Science Analysis

There are a lot of good resources out there for getting started with data science and machine learning, where you can walk through starting with a dataset and ending up with a model and set of predictions. Think something like the homework for your favorite machine learning class, or your most recent online machine learning competition. However, if you've ever tried to maintain a machine learning workflow (as opposed to building it from scratch), you know that taking a simple modeling script and turning it into clean, well-structured and maintainable software is way harder than most people give it credit for. That said, if you're a professional data scientist (or want to be one), this is one of the most important skills you can develop. In this episode, we'll walk through a workshop Katie is giving at the Open Data Science Conference in San Francisco in November 2017, which covers building a machine learning workflow that's more maintainable than a simple script. If you'll be at ODSC, come say hi, and if you're not, here's a sneak preview!

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Distillation, or, How to Steal a Model

Distillation, or, How to Steal a Model

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Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)

Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)

What happens when a Stanford linguistics professor turns his attention to AI chatbots — and the surprisingly invisible ways humans misunderstand them? Chris Potts joins the show to unpack the hidden f...

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Still summer break: back next week

Still summer break: back next week

Still summer break: back next week by Katie Malone

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Summer break: back soon

Summer break: back soon

Summer break: back soon by Katie Malone

6 Heinä 36s

Interviewing the Linear Digressions Agents (The Agents Season, Episode 11)

Interviewing the Linear Digressions Agents (The Agents Season, Episode 11)

After a five-year hiatus, the podcast that burned out partly over the tedium of writing episode descriptions is back — and using AI agents to handle exactly that task. The season-11 finale turns the l...

28 Kesä 37min

Agent Economics (The Agents Season, Episode 10)

Agent Economics (The Agents Season, Episode 10)

What if building more highways made your commute *slower*? That's the paradox at the heart of AI agent economics: even as per-token inference costs have plummeted dramatically over the past two years,...

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Agent Trust, Oversight and Control (The Agents Season, Episode 9)

Agent Trust, Oversight and Control (The Agents Season, Episode 9)

Capabilities get all the attention when it comes to AI agents — but what happens when a highly capable agent makes a bad decision in the real world? Trust, oversight, and control are the unglamorous b...

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Many Agents, Many Problems (The Agents Season, Episode 8)

Many Agents, Many Problems (The Agents Season, Episode 8)

Whether you work best solo or thrive in a team, you know collaboration is complicated — and it turns out AI agents face the same tensions. This episode dives into multi-agent systems, exploring how ne...

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