Mike Thomas is Chief Data Scientist at Ketchbrook Analytics, with background in credit risk modeling, regression & time series forecasting, machine learning, recommendation engines, and natural language processing. In addition, Mike has extensive data visualization experience across a variety of software products and technologies. Passionate about reproducibility and following healthy software development practices in data science.
Mike Thomas has hosted 98 Episodes.
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Issue 2022-W20 Highlights
May 19th, 2022 | 28 mins 44 secs
A preview of R for Data Science (2nd edition) with missing data, creating topography maps, and (yes) playing the drums directly in R.
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Issue 2022-W19 Highlights
May 11th, 2022 | 26 mins 16 secs
A dungeon-crawler for your R console, storytelling in ggplot2 with rounded rectangles, and updates to the tidymodels recipes suite of packages.
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Issue 2022-W18 Highlights
May 5th, 2022 | 30 mins 43 secs
A brand-new tables gallery powered by the R community, noteworthy items from the Appsilon Shiny conference, and R-Markdown is not going anywhere.
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Issue 2022-W17 Highlights
April 27th, 2022 | 32 mins 54 secs
Lessons from teaching R to non-programmers, loading a large and messy CSV file with data.table and command-line tools, Bayesian analyses with the brms package, and getting a better understanding of the tidyeval framework.
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Issue 2022-W16 Highlights
April 20th, 2022 | 29 mins 53 secs
An important change coming to the R-spatial ecosystem, enhancing function error reporting with chaining, and traveling down the monad rabbit hole.
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Issue 2022-W15 Highlights
April 13th, 2022 | 31 mins 27 secs
The cone of silence is lifted for the Quarto publishing engine, re-creating a storytelling look with ggplot2, and programming a fun Dragon Realm game in Shiny.
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Issue 2022-W14 Highlights
April 6th, 2022 | 26 mins 55 secs
A trifecta of new R packages for data validation, function logging, and a new ggplot2 extension.
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Issue 2022-W13 Highlights
March 30th, 2022 | 29 mins 15 secs
R-Weekly is back! Understanding the native R pipe, and using RopenSci's pkgcheck within GitHub Actions.
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Update on RWeekly and 2021 Reflections
January 14th, 2022 | 49 mins 29 secs
An update on the current state of RWeekly, plus Eric and Mike reflect on their journeys with data science from the industry and consulting perspectives in an eventful 2021!
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Issue 2021-W50 Highlights
December 15th, 2021 | 35 mins 33 secs
A batch of Shiny tips from creating an application tailored to teaching statistics, and the Big Book of R gains nine new entries to the collection.
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Issue 2021-W49 Highlights
December 9th, 2021 | 32 mins 12 secs
A fascinating journey to understand serialization of RDS files in R, and giving an old domain new life with R markdown while giving back to charity.
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Issue 2021-W48 Highlights
December 1st, 2021 | 33 mins 2 secs
How GitHub Actions empowers the {cffr} package to perform automated testing with 2,000 packages, recap of the recent R-Ladies Philly workshop on automated testing in R, and introducing the new {filebin} package for easy file sharing.
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Issue 2021-W46 Highlights
November 17th, 2021 | 37 mins 9 secs
A cautionary tale about ML interpretations with food, practical solutions for dealing with big data in R, and the adventures of installing R on the new Apple Silicon hardware.
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Issue 2021-W45 Highlights
November 10th, 2021 | 33 mins 59 secs
A lesser-known R function drives finding coordinates on fictitious Pokemon maps, creating customized point shapes with ggplot2 and gggrid, and how the branchMover Shiny app can save you a load of time and effort with GitHub branch renaming.
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Issue 2021-W44 Highlights
November 3rd, 2021 | 24 mins 42 secs
An analysis of dialogue from "The Office", and a package promoting accessibility for visually impaired R-Users
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Issue 2021-W43 Highlights
October 27th, 2021 | 30 mins 23 secs
A tutorial on getting started with aRtistry, simulating the Squid Game bridge scene, and a video demonstration of installing Shiny server on AWS