Author and Publisher at MLtechniques.com. Machine learning scientist, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent also founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target).
I have included a lot of Excel spreadsheets in the numerous articles and books that I have written in the last 10 years, based either… Read More »Amazing Things You Did Not Know You Could Do in Excel
Announcements Watch APEXX W3: The Data Science Workstation, and learn how an NVIDIA-certified BOXX workstation can accelerate your workflow. Access video here. Use real-time anomaly… Read More »All-purpose, Robust, Fast, Simple Non-linear Regression
There is no statistical test that assesses whether a sequence of observations, time series, or residuals in a regression model, exhibits independence or not. Typically,… Read More »New Tests of Randomness and Independence for Sequences of Observations
After more than 10 years being involved with Data Science Central, initially as the founder, and most recently being acquired by TechTarget, I have decided… Read More »Personal updates and DSC
In 2019, Google announced TensorFlow 2.0, it is a major leap from the existing TensorFlow 1.0. The key differences are as follows: Ease of use: Many… Read More »TensorFlow 1.x vs 2.x. – summary of changes
The covariance matrix has many interesting properties, and it can be found in mixture models, component analysis, Kalman filters, and more. Developing an intuition for… Read More »Create Transformed, N-Dimensional Polygons with Covariance Matrix
Visualization has become a key application of data science in the telecommunications industry. Specifically, telecommunication analysis is highly dependent on the use of geospatial data.… Read More »Visualizing New York City WiFi Access with K-Means Clustering
It is surprising to see the level of innumeracy in the population, even in college-educated professionals. People still have blind faith in so-called experts and… Read More »Three fallacies about Covid-19
Correlation is a measure of linear association between two variables X and Y, while linear regression is a technique to make predictions, using the following model: Y = a0 + a1 X1 +… Read More »Difference Between Correlation and Regression in Statistics
Probably the worst error is thinking there is a correlation when that correlation is purely artificial. Take a data set with 100,000 variables, say with… Read More »Common Errors in Machine Learning due to Poor Statistics Knowledge
