Not So Standard Deviations

Roger and Hilary talk about a consulting engagement gone wrong and whether there have been any good consulting engagements.

 

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Hilary and Roger talk about whether it might be better if ChatGPT didn?t give you what you wanted.

 

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Hilary and Roger discuss what makes a data analytic tool informative for a given problem and Hilary, predictably, gets furious.

 

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Hilary and Roger ring in the new year with some discussion of AI and data science, Roger?s upcoming spring semester data science course, and some predictions for 2024. 

 

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Roger on BlueSky

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Hilary and Roger discuss Hilary?s new ChatGPT consulting business and tease the future of data analysis with AI.

 

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Hilary and Roger discuss how to improve ChatGPT interactions and important lessons learned from Terminator 2.

 

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Hilary and Roger are discussing Python in Excel, speed cubing data, and a grand strategy for AI weapons.

 

Show Notes:

Python in Excel

World Cube Association

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Hilary and Roger discuss data vs. oil, large language models, automated vehicles, and Hilary contributes to Roger?s research. 

 

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Hilary and Roger return to see if anything has changed in the world since they took their break. Topics include the changing world of social media and the ?data as oil? metaphor.

 

Show Notes:

Catching up with the weird world of LLMs

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Hilary and Roger make a special announcement and discuss large language models, prompt engineering, and the frustration of teaching R these days.

 

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Hilary and Roger discuss Posit ads and continue the discussion of ChatGPT and AI (including AI movies!)

 

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Hilary and Roger debate the impacts and time horizon of ChatGPT and its competitors.

 

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Hilary and Roger reflect on the collapse of Silicon Valley Bank, discuss what the goal of data version control is, and critique Roger?s idea for a way to learn from other people?s data analyses.

 

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Hilary and Roger winge about Twitter, correct the record about dbt, and consider more counterfactuals.

 

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Hilary recovers from COVID while Roger throws various difficult discussion topics at her. They talk about Charlie Javice, Data Day Texas, Posit / Palantir, and classified documents.

 

Show Notes:

JP Morgan Chase lawsuit against Frank

Palantir news release

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Hilary spills a smoothie and coffee and Roger starts teaching again.

 

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Hilary and Roger close out the year discussing brain biomarkers, ChatGPT and AI art, and Roger?s failed experiment with a rocket company.

 

Show Notes

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Hilary and Roger design a coffee experiment, sell some mugs, and discuss Roger?s college transcript.

 

Show Notes:

Not So Standard Mugs

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Hilary and Roger follow up on DALL-E and discuss the main topic of the day ? Twitter and whether there are any viable alternatives.

Show Notes:

Roger as Cowboy

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Hilary and Roger discuss Roger?s latest coffee conundrum, remaking the 2007 Apple store, and using DALL-E for ad campaigns. And Roger is hiring a postdoc!

 

Show Notes:

Roger?s Postdoc Ad: https://rdpeng.org/postdoc.html

Bootcut Jeans Anthropologie

Bootcut Jeans Uniqlo

Bootcut Jeans Etsy

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Hilary and Roger celebrate their podcast-iversary by discussing The Dropout, Hilary?s startup experience, and developing a totally straightforward system for living in two different locations.

 

Show Notes:

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Hilary and Roger are back after a short break to discuss Roger?s new job, the meaning of data science, and limited liability algorithms.

 

Show Notes:

UT Austin Statistics and Data Sciences

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Hilary and Roger reflect on rstudio::conf(2022) and follow up on assumptions vs. constraints for statistical methods.

 

Show Notes:

Introduction to Modern Statistics

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Hilary and Roger discuss the upcoming RStudio Conference and figure out what talks Roger should go to.

 

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Hilary and Roger follow up on TikTok, Twitter, and then discuss why statisticians are so bad at training people in data analysis.

 

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Hilary is fresh from raising capital and Roger thinks they should start a TikTok account.

 

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Hilary and Roger discuss deprecated packages, the tidyverse ecosystem, the end of fashion, creators and platforms, and whether certain people understand data science.

 

Show Notes:

Paper that Roger Meant to Write but Didn?t

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Hilary and Roger discuss testing apps on iPods, updating R packages and getting the ?email? from CRAN, and going back to conferences.

 

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Hilary and Roger discuss Docker for analytic pipelines, deep learning, the right/wrong way to get feedback, and the future of Twitter.

 

Show Notes:

Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation

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Hilary and Roger talk about Hilary?s new job as Chief Technology Officer of Indyx. 

 

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Hilary is back from special assignment in the Yukon. She and Roger talk about prediction modeling (and how Hilary hates it), self-driving cars, and chatting (or not) with virtual agents.

 

Show Notes

Tensorflow MacOS

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Roger welcomes back Lucy D?Agostino McGowan to the show to discuss building prediction models and how they may or may not relate to causal inference.

 

Show Notes:

Lucy D?Agostino McGowan

Hundreds of AI tools have been built to catch covid. None of them helped.

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Hilary and Roger discuss whether they understand their models, changing programming languages, using RStudio for everything, and deep learning.

 

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Hilary and Roger continue to track Roger?s deep learning journey.

 

Show Notes:

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Hilary and Roger discuss Twitter Spaces, career advice, and deep learning.

 

Show Notes:

Deep Learning Book

Robert Nowak?s IMS Medallion Lecture

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Hilary and Roger discuss Sir David Cox, esport competitions, and hand out more bad career advice.

 

Show Notes:

Sir David Cox

The Cox Model

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Hilary and Roger discuss Theranos (for the last time??), Excel as e-sport, and Hilary gives some more bad career advice.

 

Show Notes:

Financial Modeling World Cup Finals

The Missing Analytics Executive

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Roger and Hilary discuss the meaning of the Christmas spirit.

Show Notes:

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Hilary and Roger have a winding discussion about rubrics and check lists. And Hilary observed a functional data science team in the wild.

 

Show Notes:

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Hilary and Roger follow up on Zillow, talk about negotiation in data science, and discuss the title of data scientist.

 

Show Notes:

WSJ Article on Zillow

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Hilary and Roger discuss data analysis and communication, analysis correctness, Zillow Offers, and another installment of Hilary?s Bad Career Advice.

 

Show Notes:

Hilary Parker on Casual Inference Podcast

Episode 35 with Sean Taylor

What Data Folk Were Saying About Zillow

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Hilary and Roger inaugurate a new segment: Hilary?s Bad Advice. Also they discuss spacecraft trajectories calculated with Excel, Theranos, filesystems, and San Francisco data analysis politics.

 

Show Notes:

Trajectory Design of the Lucy Mission

Theranos Ask a Manager

File Not Found

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Hilary and Roger discuss scientific discovery vs. building and designing analyses, Hilary giving bad advice, and Hilary?s new career!

 

Show Notes:

Analytics Power Hour

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Hilary and Roger keep track of the Elizabeth Holmes trial, follow up on useful models and formal analysis, and discuss data analysis requirements and experimental design.

 

Show Notes:

Latin square

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Hilary and Roger discuss whether models should be correct or useful.

 

Show Notes:

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Hilary and Roger discuss the upcoming Elizabeth Holmes trial, hot tea, distraction free computing, and designing a study for detecting data booboos. Also, Roger has a new Patreon benefit!

 

Show Notes:

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Hilary and Roger discuss Internet woes, mugs, data editors, and user testing chocolate.

 

Show Notes:

Cacao ceremony

Esalen

The Good Chocolate

Certified Software by Zhong Shao

 

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Hilary and Roger compare mugs and then follow up on how to incentivize data quality assurance.

 

Show Notes:

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Hilary and Roger follow up on GitHub Copilot, discuss SAS (briefly!), and talk about ways in which people determine that data are ?right?.

 

Show Notes:

Hilary?s thread on data checking

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Hilary and Roger talk about tidymodels one more time with listener feedback, discuss the central question of data science, alternate ways to characterize uncertainty, and GitHub Copilot.

 

Show Notes:

Hill?s Criteria for Data Scientists - https://livefreeordichotomize.com/2016/12/15/hill-for-the-data-scientist-an-xkcd-story/

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Podcast art by Jessica Crowell