Deal of the Day May 10: Half off Practical Data Science with R, Second Edition. Use code dotd051020au at https://bit.ly/2xLRPCk
Here is a small quote from Practical Data Science with R Chapter 1. It is often too much to ask for the data scientist to become a domain expert. However, in all cases the data scientist must develop strong domain empathy to help define and solve the right problems. Interested? […]
We had such a positive reception to our last Introduction to Data Science promotion, that we are going to try and make the course available to more people by lowering the base-price to $29.99. We are also creating a 1 month promotional price of $20.99. To get a permanent subscription […]
What it is a second edition of a book to its authors? In some sense it is the book the authors thought they were writing the first time.
I thought we would try to express why somebody interested in using the R language (and package ecosystem) for supervised machine learning, data wrangling, analytics projects, and other data science topics should give Practical Data Science with R, 2nd Edition a try. Nina Zumel and I shared the book with […]
Practical Data Science with R 2nd Edition is now in-stock at Amazon.com! Buy it for your favorite data scientist in time for the holidays!
Nina and I have prepared a quick introduction video for Practical Data Science with R, 2nd Edition. We are really proud of both editions of the book. This book can help an R user directly experience the data science style of working with data and machine learning techniques. The book […]
Practical Data Science with R, 2nd Edition author Dr. Nina Zumel, with a fresh author’s copy of her book!
We will be speaking at the Tuesday, September 3, 2019 BARUG. If you are in the Bay Area, please come see us. Nina Zumel & John Mount Practical Data Science with R Practical Data Science with R (Zumel and Mount) was one of the first, and most widely-read books on […]
I thought I would give a personal update on our book: Practical Data Science with R 2nd edition; Zumel, Mount; Manning 2019.