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.
by Elliott Cordo, chief architect at Caserta Concepts. Exclusive to Data Science Central.
There is much discussion these days about Lambda Architecture and its benefits for developing high performance analytic architectures. It offers a combination of a high performance, low latency ETL with a real-time layer, and a slower, more accurate, and flexible solution that runs in batch.
As I work…Continue
Guest blog post by Dr. Livan Alonso.
Twitter has more than 250 million monthly active users who tweet more than 500 millions tweets per day. In the case someone is following many people, it isn’t feasible to read each tweet from them.
Do you have any idea about what people are twitting about Data Science, Big Data, Business Analytics, Hadoop, Machine Learning or R programming?
Word clouds are one of the simplest and most intuitive ways of visualizing text data.…Continue
What are the differences between data science, data mining, machine learning, statistics, operations research, and so on?
Here I compare several analytic disciplines that overlap, to explain the differences and common denominators. Sometimes differences exist for nothing else other than historical reasons. Sometimes the differences are real and subtle. I also provide typical job titles, types of analyses, and industries traditionally attached to each discipline. Underlined domains are…Continue