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).
You will find here an unusual perspective and opinions about data science. These articles may resonate well with senior data scientists and decision makers who… Read More »19 Controversial Articles about Data Science
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers,… Read More »22 Great Articles About Neural Networks
Originally posted here, by Jorge Castanon. Ancient ruins are sometimes discovered after long years investigating regions of the world covered by dense jungle or giant forests.… Read More »10 Visualizations Every Data Scientist Should Know
Guest blog by Michael Grogan. Here is how we can use the maps, mapdata and ggplot2 libraries to create maps in R. In this particular example, we’re going to create a… Read More »Creating maps in R using ggplot2 and maps libraries
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »15 Articles and Tutorials about Outliers
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »Misuses of Statistics: Examples and Solutions
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »32 Statistical Concepts Explained in Simple English – Part 11
We investigate a large class of auto-correlated, stationary time series, proposing a new statistical test to measure departure from the base model, known as Brownian… Read More »Long-range Correlations in Time Series: Modeling, Testing, Case Study
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »31 Statistical Concepts Explained in Simple English – Part 8
Back in 2017, we posted a problem related to stochastic processes and controlled random walks, offering a $2,000 award for a sound solution, see here… Read More »Announcement: Winner of the Data Science Central Competition
