There's been many variations of this theme - defining big data with 3Vs (or more, including velocity, variety, volume, veracity, value), as well as other representations such as the…Continue
Without clicking on the link!What about tinyurl or any other URL shorterner? For bit.ly, just add a + after the shortened URL.For Goo.gl (Google URL shortener), it's just as easy. For other…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.
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.
Data science is the result of a new paradigm taking place in IT. The question was raised recently, and here I explain how and why data science is part of this new paradigm, and not recycled material.
New arsenal of techniques and metrics
Many data science techniques are very…Continue