Vincent Granville, PhD is a pioneering data scientist, mathematician, entrepreneur, investor, co-founder of Data Science Central (acquired in 2020) and DataShaping.com, former VC-funded executive, author and patent owner. Vincent's past corporate experience includes Visa, Wells Fargo, eBay, NBC, Microsoft, CNET, InfoSpace and other Internet startup companies (one acquired by Google). Vincent is also a former post-doct from Cambridge University, and the National Institute of Statistical Sciences (NISS).
Vincent published in Journal of Number Theory, Journal of the Royal Statistical Society (Series B) and IEEE Transactions on Pattern Analysis and Machine Intelligence. One of his books was published by Wiley. For details, see my Google Scholar profile, here.
In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending on which company you work for, you may or may not be involved in all the steps. In larger companies, you typically focus on one or two specialized aspects of a project. In small companies, you may be involved in all…Continue
As a machine learning professional, I have worked for several startups ranging from zero to 600 employees, as well as companies such as eBay, Wells Fargo, Visa and Microsoft. Here I share my experience. A brief summary can be found in my conclusions, at the bottom of this article.
It is not easy to define what a startup is. The first…Continue
In this article, I illustrate the concept of asymmetric key with a simple example. Rather than discussing algorithms such as RSA, (still widely used, for instance to set up a secure website) I focus on a system easier to understand, based on random permutations. I discuss how to generate these random permutations and compound them, and how to…Continue