Today for the first time in our history, we have more traffic coming from Twitter than from Google organic searches. Indeed, for the vast majority of websites, the top traffic sources are direct (no…Continue
Studying the lifetime of a credit card account is an interesting topic for credit card issuers. What is the natural cause of death for a credit card account? It is credit card fraud, which eventually…Continue
Dr. Vincent Granville is a visionary data scientist with 15 years of big data, predictive modeling, digital and business analytics experience. Vincent is widely recognized as the leading expert in scoring technology, fraud detection and web traffic optimization and growth. Over the last ten years, he has worked in real-time credit card fraud detection with Visa, advertising mix optimization with CNET, change point detection with Microsoft, online user experience with Wells Fargo, search intelligence with InfoSpace, automated bidding with eBay, click fraud detection with major search engines, ad networks and large advertising clients.
Most recently, Vincent launched Data Science Central, the leading social network for big data, business analytics and data science practitioners. Vincent is a former post-doctorate of Cambridge University and the National Institute of Statistical Sciences. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads. Vincent has published 40 papers in statistical journals and, a Wiley book,and is an invited speaker at international conferences. He also developed a new data mining technology known as hidden decision trees, owns multiple patents, published the first data science book, and raised $6MM in start-up funding. Vincent is a top 20 big data influencers according to Forbes, was featured on CNN.
I saw a chart on Twitter, about the precursors to data science. I was surprised to see that their graph is missing many links and entities such as computer science. Data science contributes more to statistics than the other way around. This view is biased…Continue