Subscribe to DSC Newsletter
Blaine Bateman
  • Male
  • Superior, CO
  • United States
Share on Facebook
Share

Blaine Bateman's Friends

  • Alex Newman
  • Hebe Li
  • Ken Craig, CIR
  • San Sanych

Gifts Received

Gift

Blaine Bateman has not received any gifts yet

Give a Gift

 

Blaine Bateman's Page

Latest Activity

Ali Awadh liked Blaine Bateman's blog post Exploring Kaggle Titanic data with R Packages naniar and UpSetR
Jan 25
Jesus Marcano liked Blaine Bateman's blog post Weighted Linear Regression in R
Jan 2
JAY KORADA liked Blaine Bateman's blog post Extending churn analysis to revenue forecasting using R
Dec 31, 2018
Howard Fulks liked Blaine Bateman's blog post Weighted Linear Regression in R
Nov 20, 2018
Kiran Kumar Boggavarapu liked Blaine Bateman's blog post Weighted Linear Regression in R
Oct 10, 2018
Rafael Mejia commented on Blaine Bateman's blog post Extending churn analysis to revenue forecasting using R
"Excellent article, can you share the source code for the example, please. Thank you so much. Regards,"
Sep 11, 2018
Rafael Mejia liked Blaine Bateman's blog post Extending churn analysis to revenue forecasting using R
Sep 11, 2018
Blaine Bateman liked Matt Tucker's blog post The Death of the Data Scientist
Jul 13, 2018
Blaine Bateman posted a blog post

Exploring Kaggle Titanic data with R Packages naniar and UpSetR

Recently (6/8/2018), I saw a post about a new R package "naniar", which according to the package documentation, "provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data."  naniar is authored…See More
Jul 10, 2018
Erica Dretzka liked Blaine Bateman's blog post Exploring Kaggle Titanic data with R Packages nanair and UpSetR
Jul 8, 2018
Blaine Bateman posted a blog post

Exploring Kaggle Titanic data with R Packages naniar and UpSetR

Recently (6/8/2018), I saw a post about a new R package "naniar", which according to the package documentation, "provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data."  naniar is authored…See More
Jul 4, 2018
Blaine Bateman's blog post was featured

Exploring Kaggle Titanic data with R Packages naniar and UpSetR

Recently (6/8/2018), I saw a post about a new R package "naniar", which according to the package documentation, "provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data."  naniar is authored…See More
Jul 4, 2018
Blaine Bateman liked Rohan Kotwani's blog post Generalized Machine Learning - Kerneml - Simple ML to train Complex ML
May 10, 2018
Blaine Bateman commented on Rohan Kotwani's blog post Generalized Machine Learning - Kerneml - Simple ML to train Complex ML
"This looks interesting. Any chance to implement in R?"
May 10, 2018
Blaine Bateman is now friends with Hebe Li, San Sanych and Alex Newman
May 10, 2018
Serge Audenaert liked Blaine Bateman's blog post Simple automated feature selection using lm() in R
May 2, 2018

Profile Information

Short Bio
Blaine Bateman is President of EAF LLC, a consultancy in strategy, market analysis, technology due diligence, and related areas, and has over 30 years international experience. In addition to consulting and research, he writes for a number of tech media outlets. Mr. Bateman graduated in ChE w/Special Honors from the University of Colorado, later receiving a Professional Certificate in Quality Management also from CU, a Certificate in Integrated Strategic Planning from Caltech, a Certificate with Distinction in Game Theory and a Certificate in Cryptography I (both from Stanford MOOCs), completing a Professional Course in Strategy Development at Washington University in St. Louis, a Certificate in Competitive Strategy from LMU Munich MOOC, and a certificate in Finance for non-Finance Professionals (MOOC) from UC Irvine.


Following ten years in government research and management (Deputy Director, National Measurement Laboratory (US DoC NIST) and Chief, Chemical Engineering Division of NIST), Mr. Bateman worked at several start-ups, then 13 years with Laird Technologies, a global specialty electronics firm. Prior to forming EAF, he was VP Strategic Markets, VP Strategic Business Dev., and Global VP of Marketing with Laird. He has experience in Electronics, Automotive, Wireless, Instruments, and Cryogenics. His skills include Strategy, Business Development, Engineering, Product Development, Quality Management, Operations, and RF Technology. Over his career, he has received 18 patents in Chemical Instruments, Antennas, and RF Design.
My Web Site Or LinkedIn Profile
http://www.eaf-llc.com
Professional Status
Consultant
Years of Experience:
32
Your Company:
EAF LLC
Industry:
Technology
Your Job Title:
President
How did you find out about DataScienceCentral?
web search
Interests:
Other

Blaine Bateman's Blog

Exploring Kaggle Titanic data with R Packages naniar and UpSetR

Posted on July 3, 2018 at 10:30am 0 Comments

Recently (6/8/2018), I saw a post about a new R package "naniar", which according to the package documentation, "provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data."  naniar is authored…

Continue

Simple automated feature selection using lm() in R

Posted on April 30, 2018 at 7:30am 0 Comments

There are many good and sophisticated feature selection algorithms available in R.  Feature selection refers to the machine learning case where we have a set of predictor variables for a given dependent variable, but we don’t know a-priori which predictors are most important and if a model can be improved by eliminating some predictors from a model.  In linear regression, many students are taught to fit a data set to find the best model using so-called “least squares”.  In most…

Continue

Extending churn analysis to revenue forecasting using R

Posted on March 27, 2018 at 10:00am 8 Comments

In this article we will review application of clustering to customer order data in three parts.  First, we will define the approach to developing the cluster model including derived predictors and dummy variables; second we will extend beyond a typical “churn” model by using the model in a cumulative fashion to predict customer re-ordering in the future defined by a set of time cutoffs; last we will use the cluster model to forecast actual revenue by estimating the ordering parameter…

Continue

Weighted Linear Regression in R

Posted on March 23, 2018 at 6:30am 2 Comments

If you are like me, back in engineering school you learned linear regression as a way to “fit a line to data” and probably called in “least squares”.  You probably extended it to multiple variables affecting a single dependent variable.  In a statistics class you had to calculate a bunch of stuff and estimate confidence intervals for those lines.  And that was probably about it for a long time, unless you were focusing on math or statistics.  You may have…

Continue

Comment Wall

You need to be a member of Data Science Central to add comments!

Join Data Science Central

  • No comments yet!
 
 
 

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service