---

This site is being maintained but I am not currently adding new things.  I am either working for clients or working on my own projects.  In either case I cannot share what I'm up to.  Some projects of note that I have completed recently:

• Parcel Indexes.  (LandGate)
• Environmental Reports, Endangered Species, Industrial Contamination.  (LandGate)
• Available Transfer Capacity and Injection.  (LandGate)
• A customized and proprietary SARIMA-based time series forecasting tool. (Denovo Ventures, LLC.)
• A customized and proprietary Prophet-based time series forecasting tool. (Denovo Ventures, LLC.)
• A robust statistical analysis model to handle data that is univariate or multivariate. (Denovo Ventures, LLC.)
• A ticket issuance system to watch for changes in trouble ticket volume. (Denovo Ventures, LLC.)
• A proprietary system to automatically determine high and low thresholds used to watch for changes in system utilization. (Denovo Ventures, LLC.)
• Some natural language processors for summarizing large amounts of text from scientific articles. (Gooberman, Inc.)
• A sentiment analysis tool to determine what feelings a reviewer was trying to express in text. (Gooberman, Inc.)
• A variety of processing tools to handle Excel data en masse. (Gooberman, Inc.)
• A redesign of an SQL database to use Elasticsearch instead. (Gooberman, Inc.)

---

• Traveling Salesman Problem Computer Test with JavaScript and Python: TSP  

• Underground Fuel Line Gas Test Trending in Python: UG Trending  

• Uninterruptible Power Supply System Analysis Written in R: UPS  

• I wrote a little code to see how the learning rate and \( \alpha \) are related when using Gradient Descent:  Linear Regression with Gradient Descent. 

 

• This is an excellent Machine Learning course offered by Dr. Andrew Ng from Stanford University: Certificate
  Here are my notes:
  • Week 1 Notes.
  • Week 2 Notes.
  • Week 3 Notes.
  • Week 4 Notes.
  • Week 5 Notes.
  • Week 6 Notes.
  • Week 7 Notes.
  • Week 8 Notes.
  • Week 9 Notes.
  • Week 10 Notes.
  • Week 11 Notes.

• My paper from my MS. (Reprinted with permission from Washington State University Department of Mathematics.) This is a small part of reserach performed by Dr. Kevin Cooper, Dr. Alexander Panchenko at WSU. Paper and Presentation . The problem written about here is a nonlinear particle physics problem that used to need a supercomputer cluster to solve. However, with the techniques we developed we can run the same problem on a laptop in a few minutes using Matlab. Groovy.

• I completed a Machine Learning course from the University of Washington Machine Learning Certificate.

• Some notes on 'Classification systems'.

• I finished a fun "R Programming" course from Johns Hopkins University. R Programming Certificate.

• Some notes about simulation and profiling in R

• Some notes about loop functions in R

• Another R Markdown example using data from http://www.eia.gov

• R Markdown (example)

• Least Squares Polynomial Fitting with Matlab

• Least Squares Polynomial Fitting in R

• Numerical analysis for an advection PDE

• Eigenvalues of Graph Adjacency Matrices

• A presentation on the Reproduction Number \(R_0 \) (PDF Opens in new window)