Don’t Let Data Science Become a Scam
Guest blog by Seth Dobrin and Daniel Hernandez. Companies have been sold on the alchemy of data science. They have been promised transformative results. They… Read More »Don’t Let Data Science Become a Scam
Home » Archives for Vincent Granville
Vincent Granville
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).
Data Scientist's Book of Quotes
Insights and Advice from Data Science Leaders and Key Influencers. Paperback – July 13, 2018. By Matt Corey. The Data Scientist’s Book of Quotes includes… Read More »Data Scientist's Book of Quotes
Power BI: Tutorial
Guest blog by Robert Breen. What is PowerBI? Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated… Read More »Power BI: Tutorial
Neural Networks gone wild! They can sample from discrete distributions now!
Guest blog by Yoel Zeldes. This post describes: what the Gumbel distribution is how it is used for sampling from a discrete distribution how the weights… Read More »Neural Networks gone wild! They can sample from discrete distributions now!
Data Scientist's Book of Quotes
Insights and Advice from Data Science Leaders and Key Influencers. Paperback – July 13, 2018. By Matt Corey. The Data Scientist’s Book of Quotes includes… Read More »Data Scientist's Book of Quotes
Bill Vorhies Retrospective: Part 6
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as… Read More »Bill Vorhies Retrospective: Part 6
Feature Selection For Unsupervised Learning
This is my presentation for the IBM data science day, July 24. Abstract After reviewing popular techniques used in supervised, unsupervised and semi-supervised machine learning,… Read More »Feature Selection For Unsupervised Learning
From Strategy to Implementation – Planning an AI-First Company
Summary: Our recent series of articles on AI strategies shows the options available for the strategic direction of your AI-first company. Here are some thoughts… Read More »From Strategy to Implementation – Planning an AI-First Company
New Directions in Cryptography
Updated on August 12. See new section entitled “Future research on the topic.” Here I propose an alternative to traditional cryptography. Traditional cryptography relies on… Read More »New Directions in Cryptography
Is Model Bias a Threat to Equal and Fair Treatment? Maybe, Maybe Not.
New article by Bill Vorhies. Summary: There is a great hue and cry about the danger of bias in our predictive models when applied to… Read More »Is Model Bias a Threat to Equal and Fair Treatment? Maybe, Maybe Not.