Most of us are not arrogant, especially the more experienced, business-oriented and senior practitioners. And evidently, I completely disagree with the two motto displayed below. But a few analytic…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.
In any data science project, if you start with the wrong question, you are bound to end up with the wrong answer, and failure. Who should identify the right question? I believe data scientists should be involved in the process, otherwise, they will be held responsible for the failure.…Continue
Guest blog post by Bernard Marr.
In my last post, I explained the difference between what I consider the two core types of data scientist – strategic and operational.
Broadly speaking, they require many of the same skillsets – but the distribution of your expertise and experience within these skillsets will vary, depending on whether…Continue