DrivenData InterviewMy path to becoming a full-stack data scientist, helpful data science tools and resources, machine learning competitions, our obligation…Dec 14, 20205682Dec 14, 20205682
Published inTDS ArchiveA Data Science ConversationHow to teach yourself data science and other advice from my interview on the Towards Data Science podcast.Mar 10, 20204151Mar 10, 20204151
12 Lessons from 55,000 pages of booksHow 136 books can update our prior knowledge of the worldJan 2, 20201.4K11Jan 2, 20201.4K11
“Just Do It” Won’t Get You to Your GoalsEffective strategies for attaining lofty goalsDec 27, 20194062Dec 27, 20194062
Published inTDS ArchiveLessons from a Year in the Data Science TrenchesFive takeaways from learning to put machine learning in production at Cortex Building IntelligenceDec 9, 20197175Dec 9, 20197175
The Mundanity of Excellence: Talent Does Not Determine Success and Why That Terrifies PeopleOn the Ordinary Nature of High PerformanceAug 6, 20195382Aug 6, 20195382
Published inTDS ArchiveMost People Screw Up Multiple Percent Changes. Here’s How to Get Them Right.Solving a Common Math Problem with Everyday ApplicationsAug 4, 20195993Aug 4, 20195993
How to Access Pages Missing from the InternetUsing the Wayback Machine to Find Lost PagesJul 31, 201940Jul 31, 201940
Published inTDS ArchiveLessons from How to Lie with StatisticsTimeless Data Literacy AdviceJul 28, 201911Jul 28, 201911
Published inTDS ArchiveHow 90% of Drivers Can be “Above Average” or Why You Need to be Careful When Talking StatisticsMeans, Medians, and Skewed DistributionsJul 18, 20192Jul 18, 20192
Published inTDS ArchiveThoughts on the Two Cultures of Statistical ModelingAccuracy beats interpretability and other takeaways from “Statistical Modeling: The Two Cultures” by Leo BreimanJul 17, 20194Jul 17, 20194
Published inTDS ArchiveHow to Avoid Common Difficulties in Your Data Science Programming EnvironmentReduce the incidental issues in your programming environment so you can focus on the important data science problems.Jul 12, 20191Jul 12, 20191
Published inTDS ArchiveData Scientists: Your Variable Names Are Awful. Here’s How to Fix Them.A Simple Way to Greatly Improve Code QualityJul 8, 201913Jul 8, 201913
Published inTDS ArchiveNotes on Software Construction from Code CompleteLessons from “Code Complete: A Practical Handbook of Software Constructions” with applications for data scienceJul 4, 20196Jul 4, 20196
Master’s in Computer Science at Georgia Tech Personal StatementWhy I’m pursuing an advanced degree in computer scienceMay 16, 20193May 16, 20193
Published inTDS ArchiveHow to Generate Prediction Intervals with Scikit-Learn and PythonUsing the Gradient Boosting Regressor to show uncertainty in machine learning estimatesMay 8, 20198May 8, 20198
Published inTDS ArchiveIs the Job of Data Scientist at Risk of Being Automated?A useful test for determining if your job can be done by a machine with an application to data scientistMay 4, 20193May 4, 20193
100 Miles through the Park: What It’s Like to Run a 100-Mile UltramarathonThe Why and How of Running an Ultramarathon: A Personal Account of the 2019 Potawatomi Trail RunsApr 28, 20191Apr 28, 20191