Yihui Xie announces his departure from RStudio/Posit after 10+ years, discusses the layoff, and outlines the future maintenance of key R packages.
Interview with Emanuel Zgraggen, CEO of Einblick, on his career journey and building a visual computing platform for accessible data analysis.
Interview with Itai Bar Sinai, co-founder of Mona Labs, discussing AI monitoring, product-oriented data science, and the Israeli ML community.
Analysis of Hacker News job posts shows the Data Scientist role declining while ML Engineer roles rise, indicating a shift in the data job market.
Author shares how following curiosity in writing and tech led to writing a machine learning book, promotions, and career growth.
Interview with Chetan Sharma, CEO of Eppo, discussing A/B testing, statistics engineering, and building a modern experimentation platform.
Announcement of an upcoming O'Reilly book titled 'Python Polars: The Definitive Guide', a comprehensive guide to the Polars DataFrame library.
Explores using Prolog for symbolic reasoning in data science, integrating it with Python for tasks like piecewise regression analysis.
An introduction to the #30DayChartChallenge, a community data visualization event with daily prompts for April, including its origins and format.
Archive of a cohort-based online course teaching developers and researchers how to use the command line for automation and data science tasks.
A retrospective on forming a research team in 2022 to apply machine learning to challenges in health and social sciences, including data management and validation.
Explores the intersection of multiple imputation and probabilistic record linkage, proposing a method to sample link sets for robust statistical analysis.
Author announces closing his data science training company after seven years and shares his new role as a Senior Machine Learning Engineer.
A data scientist describes a simple yet effective custom embedding technique for image defect detection, outperforming a complex deep learning model on the KolektorSDD2 dataset.
A theoretical introduction to Linear Regression models, explaining their use for predicting continuous variables and importance in interpretable fields like lending.
A guide on tailoring your resume for different machine learning roles like Data Scientist and ML Engineer, using a 3-step process.
A podcast interview discussing reinforcement learning applications, data science career paths, and productivity insights for tech professionals.
Announcing the 2022 Ihaka Lectures, featuring online talks by Emi Tanaka, Luke Tierney, and Wes McKinney on R, data science tools, and experimental design.
Part 2 of a series on using Azure Anomaly Detector to identify unusual patterns in air quality sensor data for safety alerts.
A data scientist shares a structured approach to starting data science projects, focusing on business goals, requirements, and avoiding common pitfalls.
