Jeffrey Phillips Freemandiscussing Bioalgorithms, Machine Learning, Computer Science, Electrical Engineering, HAM Radio and everything science.http://JeffreyFreeman.me2017-06-27T20:00:00-04:00Jeffrey Phillips FreemanFrequency Domain Circuit Analysis Tutorialhttp://JeffreyFreeman.me/frequency-domain-circuit-analysis-tutorial/2017-06-27T20:00:00-04:002017-07-22T09:57:58-04:00Jeffrey Phillips FreemanSome time back I started writing a book in an attempt to help explain how to do circuit analysis by hand. Originally it was going to include both time-domain analysis as well as frequency-domain analysis. The book is incomplete and I never got to coverLatex PDF from Markdownhttp://JeffreyFreeman.me/latex-pdf-from-markdown/2017-04-18T20:00:00-04:002017-04-20T03:01:04-04:00Jeffrey Phillips FreemanI write a lot of technical documents, and it is important to me that they look nice. In the past I have always resorted
to using latex directly. It’s an ugly language, hard to maintain, but it has always been the best solution. Microsoft
Word completelyHyperassociative Map Explanationhttp://JeffreyFreeman.me/hyperassociative-map-explanation/2017-04-12T20:00:00-04:002017-04-20T03:01:04-04:00Jeffrey Phillips FreemanIntroduction
Almost 8 years ago, on Aug 15, 2009, I invented a new game-changing algorithm called the Hyperassociative Map algorithm.
It was released as part of the dANN v2.x library. The HAM algorithm,
as it is often called, has since been used byLatex Inspired Rendering of Algorithms in HTMLhttp://JeffreyFreeman.me/latex-inspired-rendering-of-algorithms-in-html/2017-04-08T20:00:00-04:002017-04-20T03:01:04-04:00Jeffrey Phillips FreemanI recently updated the code for my blog (yes, this one) to render, in classic latex style, algorithms as pseudocode. This
style has been so extensively used from the 80’s and continues to be used as a standard format for rendering algorithms
as pseudocodeConditional Probabilities and Bayes Theoremhttp://JeffreyFreeman.me/conditional-probabilities-and-bayes-theorem/2017-04-05T20:00:00-04:002017-04-20T03:01:04-04:00Jeffrey Phillips FreemanI’ve been getting a lot of questions from friends lately about what Bayes
Theorem means. The confusion is understandable because it appears in a few
models that seem to be completely unrelated to each other. For example
we have Naive Bayes ClassifiersRestricted Logarithmic Growth with Injectionhttp://JeffreyFreeman.me/restricted-logarithmic-growth-with-injection/2016-05-29T20:00:00-04:002017-04-20T03:01:04-04:00Jeffrey Phillips FreemanThe Logistic Function, sometimes with modifications, has been used successfully to model a large range of natural systems. Some examples include bacterial growth, tumor growth, animal populations, neural network transfer functions, chemical reaction rates