In the case of weather prediction, physical variables such as temperature, velocity, humidity, and density are available to help predict the next state of the system in some organized scientific way. Although this type of system is nonlinear and chaotic, sophisticated prediction models have been developed—thanks to those measurable data-inputs.Read More
In the February 5, 2019 New York Times article, author Eduardo Porter shows that automation is increasing in the workplace. Yet, economic productivity indexes are lagging behind by about 20 years. Thus, automation paradoxically does not guarantee higher efficiency.Read More
Foreward: Widrow is highly respected for his accomplishments, and for his attention to detail in learning the mechanisms of error propagation. Insight Inc Founder’s methods for designing adaptive filters are different from Widrow’s methods because stock market price dynamics have special requirements.Read More
The Fourier transform dramatically changes the appearance of a time series. Fourier matrixes show spectral energy as a function of frequency.
Below, the illustration shows a Fourier transform matrix. Indeed, it is the matrix that performs the actual transformation.Read More