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).
It is hard to imagine that some data element could contain less information than a bit (a digit equal to either 0 or 1.) Yet… Read More »From Petabytes to Nanobits, with Application to Blockchain
I recently read a very popular article entitled 5 Reasons “Logistic Regression” should be the first thing you learn when becoming a Data Scientist. Here I… Read More »Why Logistic Regression should be the last thing you learn when becoming a Data Scientist
After all, the term Machine Learning was coined based on the way the human (or animal) brain learns, meaning that somehow, machines could also benefit… Read More »From Machine Learning to Machine Unlearning
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,… Read More »19 Interesting Articles About Excel
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 1
All you need to know about machine learning, accessible using our data science search engine, covering hundreds of articles and tutorials: Deep Learning Machine Learning … Read More »Data Science and Machine Learning: Great List of Resources
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 3
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented… Read More »Selected Recent Articles from Top DSC Contributors – Part 2
Data scientists spend 80% of their time preparing and cleaning their data. They spend the other 20% of their time complaining about preparing and cleaning… Read More »How Data Scientists Spend their Time – Nice Cartoon
These are not business questions, but soft questions that should make any PhD candidate relaxed, even intrigued, and open to talk freely. There is no… Read More »Two Questions to Ask to a PhD Candidate for a Leadership Role
