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).
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
The new advice today for data scientists is not to become a generalist. You can read recent articles on this topic, for instance here. In this… Read More »Why You Should be a Data Science Generalist – and How to Become One
Summary: Here are our 5 predictions for data science, machine learning, and AI for 2019. We also take a look back at last year’s predictions… Read More »5 Predictions about Data Science, Machine Learning, and AI for 2019
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 »27 Statistical Concepts Explained in Simple English – Part 5
