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).
Deep Learning, Neural Networks and AI The course is a new one by Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI… Read More »Two Great Courses on Deep Learning and AI
Great Saturday reading: our selection of articles and resources featured today: Learn Python in 3 days : Step by Step Guide Creating Your First Machine… Read More »Great Sunday Reading and Upcoming DSC Webinars
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We have published various “one picture” articles about data science topics. Our readers find them very useful, as they convey the same amount of information… Read More »The Future of Data Science in One Picture
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
