Richard Creamer's Personal Website    
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Welcome to my personal website summarizing my interests, projects, and prior work examples.
Tagline: interested in things that are interesting :-)


I have worn software engineer/architect, entrepreneur, product manager, and principal investigator hats spanning over 25 years in multiple, diverse fields, including many key startup roles.  Currently, I am interested in technology projects with the potential to have a major impact on children and the world which utilize web-scale health analytics, new education/learning technologies, and applied computational argumentation/collaboration.  Finally, I really enjoy and excel at entering and innovating in new domains.  I currently live in Northern California.  

Primary Interests
  • Web-scale health analytics
  • Redefine education and learning technologies
  • Pervasive use of computational critical thinking/argumentation
  • Novel application of [subject, predicate, object, uid] 4-tuples for expressing knowledge, data, graph metadata, vocabularies, UX, and more
  • Stereo imaging and graphics, augmented reality
General Interests
  • Machine Learning, Computer Science, AI, Optimization, Mathematics
  • Next-generation social networking platform architecture
  • Hobbies: photography, music/guitar

Work & Education

  • Innovest Systems, Software Engineer, 2014 - present
  • Cool Apps Software, Software Engineer, 2012 - present
Education, University
  • University of California, Davis, B.S. Applied Physics
Education, Online (


Other profiles/pages: 
Historical updates

I rarely update this website anymore, but below are mostly older, historical updates...
  • Python kNN classification exercise [Oct-2016] 
  • Currently (Fall-2016) studying Python's Machine Learning libraries:
    • Numpy + SciKit-Learn
    •  Here is a plot I coded using Matplotlib and a data set from one of the Python ML books I'm studying
  • Mean Absolute Deviation in Python/Numpy - my StackOverflow answer
  • This looks to be a good introduction to Deep Learning (URL)
  • By invitation and for the 2nd time, I will again be a Community TA for the Stanford online Machine Learning course beginning Sept. 22, 2014 (Coursera).
  • Higgs Boson Challenge
    • The purpose of this challenge was to identify a particular Higgs Boson decay event from background noise data.
    • Below is a histogram of the predicted Real output numbers from an early Random Forest classifier.  The best threshold on these Real outputs was found by applying the quantile() R function on the Train set labels.
    • A few more details are here.
  • Project Euler Solutions (coding examples):
    • I just added a new page w/solutions to a few selected Project Euler problems.  PLEASE do not use this code on !
  • Weight Lifting Exercises Dataset (Summary Page)
    • I recently built a Random Forest classifier in R which classifies a human's exercise activity from 52 accelerometer and tilt/gryo sensor measurements.  The training set had about 19,000 labeled samples.
  • CodeEval Challenge: A quick C hack got me a 99.841% ranking on a programming challenge:-)  PLEASE do not use my code on !
  • I just learned about and joined, looking forward to finding time to solve some of the interesting challenges on this site!
  • I just progressed to Level 2 on (top 7.26%) by completing 50+ problems.  Update: I added a new page w/ selected solutions/code.  Screenshot showing advancement to Level 2:
  • Concluded role as online Stanford Machine Learning course Community TA! (part-time) - last day of course: May 26, 2014
Slide decks (Click left link to go to Slide Decks page)

Additional online courses I've completed
Links of Interest
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Any comments, ideas, IP, or opinions I make on the Web are entirely my own, and are completely distinct from, do not reflect upon, or represent in any way, my employers, past, present, and future.

Copyright © Richard Creamer 2008 - 2016 - All Rights Reserved