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).
This article is by Jorge Castañón, Ph.D., Senior Data Scientist at the IBM Machine Learning Hub. Data visualization plays two key roles: 1. Communicating results clearly to… Read More »10 Visualizations Every Data Scientist Should Know
Logistic regression is typically used when the response Y is a probability or a binary value (0 or 1). For instance, the chance for an… Read More »Simplified Logistic Regression
In this article, we explore a new type of generalized univariate normal distributions that satisfies useful statistical properties, with interesting applications. This new class of… Read More »New Family of Generalized Gaussian Distributions
The standard definition of a generalized Gaussian distribution can be found here. In this article, we explore a different type of generalized univariate normal distributions… Read More »New Family of Generalized Gaussian or Cauchy Distributions
Originally posted by Deepak Kumar Gupta. A another interesting article on this topic can be found here. In Today’s data era, it is very important… Read More »How to Build Customize Maps in Power BI?
Originally posted by Deepak Kumar Gupta. Abstract In the real world, many online shopping websites or service provider have single email-id where customers can send their… Read More »Email Classification into relevant labels using Neural Networks
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 »33 Statistical Concepts Explained in Simple English – Part 14
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 »30 Statistical Concepts Explained in Simple English – Part 15
P-values are used in statistics and scientific publications, much less so in machine learning applications where re-sampling techniques are favored and easy to implement today… Read More »How to Lie with P-values
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 9
