Analytics can go a long way to filter out Inbox messages that have no value (waste of your time), and to identify the right prospects. So what are the metrics to use, to filter our bad leads that…Continue
Is it possible to beat commute traffic, by traveling in 3D, with drones?Let's say you weight 90 pounds. How many drones would you need to get you airborne? If each drone can carry 30 pounds, you…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 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, and is #1 in Gil Press' A-List of data scientists.
The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday.
Should you use linear or logistic regression? In what contexts? There are hundreds of types of regressions. Here is an overview for data scientists and other analytic practitioners, to help you decide on what regression to use depending on your context. Many of the referenced articles are much better written (fully edited) in my data science Wiley book.…Continue
This article is co-authored with Dr. Livan Alonso Sarduy. The two charts below are based on a number of Twitter followers and their growth rate, after filtering out irrelevant or fake followers. Our next step is to identify top data science Twitter accounts, that are themselves followed by many other top data science Twitter accounts: in our opinion,…Continue