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).
Apache Spark is generally known as a fast, general and open-source engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph… Read More »PySpark Cheat Sheet: Spark in Python
Genevera I. Allen (left) is professor in the Departments of Statistics, and the Electrical and Computer Engineering, at Rice University. Corinne Cath (right) is a doctoral student… Read More »Interview with Two Women Data Scientists
In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques… Read More »Advanced Machine Learning with Basic Excel
In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques… Read More »Advanced Machine Learning with Basic Excel
Guest blog by Kevin Gray.. Kevin is president of Cannon Gray, a marketing science and analytics consultancy. Regression is arguably the workhorse of statistics. Despite its… Read More »What is Regression Analysis?
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. The technique… Read More »t-SNE algo in R and Python, made with same dataset
This article, written by Kass RE, Caffo BS, Davidian M, Meng X-L, Yu B, and Reid N, contains the following rules: Statistical Methods Should Enable… Read More »Ten Simple Rules for Effective Statistical Practice
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 »27 Great Articles About Machine Learning Algorithms
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published.… Read More »17 Great Blogs Posted in the last 12 Months
I don’t know who produced this image, but I’ve found it posted on the Deep Learning group on Facebook. Here we go: For more articles on… Read More »Deep Learning versus Machine Learning in One Picture
