DSC Webinar Series: 5 Key Self-Service Analytics and How to Get the Data
Organizations need the right data for decisions. But many organizations don’t have the ability to perform self-service analytics, diving into the data to get key insigh...
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Big Data's Most Influential Rock Stars: 10 Must-Follow Leaders
This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse. Other bigger lists (sometimes created by robots) can be found here and are usuall...
The Astonishing Big Data Generated In A Single Journey
We are constantly generating increasing volumes of data with everything we do. During a recent business trip, I started thinking about how travelling presents a great exa...
Big Data's Most Influential Rock Stars: 10 Must-Follow Leaders
This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse.com. Other bigger lists (sometimes created by robots) can be found here and are usu...
DSC Webinar Series: Get To Business Insights Quicker With In-Database Blending
Analysts in Sales, Marketing, Finance and Operations have to prepare and analyze data quickly to answer important business questions. Time spent blending data takes away ...
Case Study: How a global gaming company used data analytics to beat the odds
It may be in the entertainment domain but Wargaming’s data analytics operations are as humongous as that of any Fortune 500 company. Wargaming is a leader in the free-t...
Who are you, Data Scientist? Answer with a survey
“I keep saying that the sexy job in the next 10 years will be statisticians, and I’m not kidding”. Hal Varian, Chief Economist at Google and emeritus professo...
Map the Life Expectancy in United States with data from Wikipedia with R
Original post is published at DataScience+ Recently, I become interested to grasp the data from webpages, such as Wikipedia, and to visualize it with R. As I did in my pr...
Book: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (MIT Press)
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications incl...
Debunking the 68 Most Common Myths About Big Data – Part 1
Summary: We searched the web to find all of the most common myths and misconceptions about Big Data. There were a lot more than we thought. Here’s what we found.�...