Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work. The methods […]
Book Review: Modern Data Science with R, 2nd Edition
January 13, 2022 by Leave a Comment
There’s good reason why the word “modern” is in the title of this new title from CRC Press: “Modern Data Science with R, 2nd,” by 3 professors Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton – the goal of the text is to provide a solid guide for state-of-the-art data science with the […]
Video Highlights: MLDataR – a Data Package for Supervised Machine Learning in R
January 11, 2022 by Leave a Comment
The video presentation below is courtesy of Gary Hutson, regarding a new R package he launched recently on CRAN to provide example ML data sets for supervised machine learning problems. The data sets have examples in healthcare, but he plans to widen to include other types of data.
Enterprise Applications of the R Language (EARL) Conference – San Francisco
June 2, 2017 by Leave a Comment
It’s the home of big name companies like Google, Salesforce, Twitter, Uber, Airbnb and Yelp. San Francisco is the perfect place to celebrate and share the power of R. The Enterprise Applications of the R Language (EARL) Conference is happening in San Francisco on June 5-7, 2017.
