Win Vector LLC‘s Dr. Nina Zumel has just released some new vtreat documentation. vtreat is a an all-in one step data preparation system that helps defend your machine learning algorithms from: Missing values Large cardinality categorical variables Novel levels from categorical variables I hoped she could get the Python vtreat documentation up to parity with … Continue reading New Getting Started with vtreat Documentation
Category: Administrativia
Why R?
I was working with our copy editor on Appendix A of Practical Data Science with R, 2nd Edition; Zumel, Mount; Manning 2019, and ran into this little point (unfortunately) buried in the back of the book. In our opinion the R ecosystem is the fastest path to substantial data science, statistical, and machine learning accomplishment. … Continue reading Why R?
Introducing data_algebra
This article introduces the data_algebra project: a data processing tool family available in R and Python. These tools are designed to transform data either in-memory or on remote databases. In particular we will discuss the Python implementation (also called data_algebra) and its relation to the mature R implementations (rquery and rqdatatable). Introduction Parts of the … Continue reading Introducing data_algebra
Speaking at BARUG
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 the practice of doing Data … Continue reading Speaking at BARUG
vtreat up on PyPi
I am excited to announce vtreat is now available for Python on PyPi, in addition for R on CRAN. vtreat is: A data.frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. vtreat prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. … Continue reading vtreat up on PyPi
R Books Discount!
We, the community of Manning R and data science authors, have talked Manning into offering a catalog-wide 40% discount on all books. Please take a look at some great deals on some great technical books here: http://mng.bz/adRj !
Big News: Porting vtreat to Python
We at Win-Vector LLC have some big news. We are finally porting a streamlined version of our R vtreat variable preparation package to Python. vtreat is a great system for preparing messy data for suprevised machine learning. The new implementation is based on Pandas, and we are experimenting with pushing the sklearn.pipeline.Pipeline APIs to their … Continue reading Big News: Porting vtreat to Python
Big News: Porting vtreat to Python
We at Win-Vector LLC have some big news. We are finally porting a streamlined version of our R vtreat variable preparation package to Python. vtreat is a great system for preparing messy data for suprevised machine learning. The new implementation is based on Pandas, and we are experimenting with pushing the sklearn.pipeline.Pipeline APIs to their … Continue reading Big News: Porting vtreat to Python
Practical Data Science with R, half off sale!
Our publisher, Manning, is running a Memorial Day sale this weekend (May 24-27, 2019), with a new offer every day. Fri: Half off all eBooks Sat: Half off all MEAPs Sun: Half off all pBooks and liveVideos Mon: Half off everything The discount code is: wm052419au. Many great opportunities to get Practical Data Science with … Continue reading Practical Data Science with R, half off sale!
Could not Resist
Also, Practical Data Science with R, 2nd Edition; Zumel, Mount; Manning 2019 is now content complete! It is deep into editing and soon into production!
Practical Data Science with R Book Update (April 2019)
I thought I would give a personal update on our book: Practical Data Science with R 2nd edition; Zumel, Mount; Manning 2019. The second edition should be fully available this fall! Nina and I have finished up through chapter 10 (of 12), and Manning has released previews of up through chapter 7 (with more to … Continue reading Practical Data Science with R Book Update (April 2019)
R Photo
A good friend is now a professor at the University of Auckland and knew to photograph and send us this. Thanks!!!
Practical Data Science with R Book Update
A good friend shared with us a great picture of Practical Data Science with R, 1st Edition hanging out in Cambridge at the MIT Press Bookstore. This is as good an excuse as any to share a book update. Nina Zumel and I (John Mount) are busy revising chapters 10 and 11 of Practical Data … Continue reading Practical Data Science with R Book Update
Sunny day at the office, and new mocha cup!
Sunny day at the office, and new mocha cup!
Support Rotary to Support our World
Thank you to Win-Vector LLC General Partner Nina Zumel for stepping up her workload, allowing me take some time off from Win-Vector LLC (and time off from from revising chapter 8 of Practical Data Science with R 2nd Edition) to make time to help administer the Vietnam Rotary Global Grant mentioned below. This project is … Continue reading Support Rotary to Support our World
Starting With Data Science: A Rigorous Hands-On Introduction to Data Science for Engineers
Starting With Data Science A rigorous hands-on introduction to data science for engineers. Win Vector LLC is now offering a 4 day on-site intensive data science course. The course targets engineers familiar with Python and introduces them to the basics of current data science practice. This is designed as an interactive in-person (not remote or … Continue reading Starting With Data Science: A Rigorous Hands-On Introduction to Data Science for Engineers
Binning Data in a Database
Roz King just wrote an interesting article on binning data (a common data analytics step) in a database. He compares a case-based approach (where the bin divisions are stuffed into code) with a join based approach. He shares code and timings. Best of all: rquery gets some attention and turns out to be the dominant … Continue reading Binning Data in a Database
R Journal Volume 10/2, December 2018 is out!
We forgot to say: R Journal Volume 10/2, December 2018 is out!
A huge thanks to the editors who work very hard to make this possible.
And big “thank you” helping improve, and for including our note on pipes in R.
PDSwR2 Free Excerpt and New Discount Code
Manning has a new discount code and a free excerpt of our book Practical Data Science with R, 2nd Edition: here.
This section is elementary, but things really pick up speed as later on (also available in a paid preview).
PDSwR2: New Chapters!
We have two new chapters of Practical Data Science with R, Second Edition online and available for review! The newly available chapters cover: Data Engineering And Data Shaping – Explores how to use R to organize or wrangle data into a shape useful for analysis. The chapter covers applying data transforms, data manipulation packages, and … Continue reading PDSwR2: New Chapters!