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).
We just started in this article to provide answers to one of the largest collection of data science job interview questions ever published, and we… Read More »Answers to dozens of data science job interview questions
According to Wikipedia, deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of… Read More »11 Deep Learning Articles, Tutorials and Resources
Here is our selection of articles and resources featured today. Enjoy the reading! How We Combined Different Methods to Create Advanced Time Series Prediction Today,… Read More »R, Python or SAS: Which one should you learn first?
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 »15 Great Blogs Posted in the last 12 Months
These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor,… Read More »40 Techniques Used by Data Scientists
We recently posted a challenge: creating data videos. You can check the challenge here, including training material and data to produce these videos, with open source… Read More »Challenge of the Week – Solution from one of the Participants
Guest blog post by Martijn Theuwissen, co-founder at DataCamp.Other Python resources can be found here. Python is widely used for data analysis and you might have considered… Read More »The Guide to Learning Python for Data Science
Guest blog post by Gaurav Agrawal, COO at Soothsayer Analytics. In today’s world of big data and the internet of things, it is common for a business… Read More »Spectral Clustering – How Math is Redefining Decision Making
Introduction We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation,… Read More »Variance, Clustering, and Density Estimation Revisited
These articles were controversial in the sense that they highlighted the differences between data science and other disciplines, at a time when many believed that… Read More »15 Most Controversial Data Science Articles
