Illegal fishing is a significant economic and environmental challenge for countries around the world. Up to 40% of fishing catch in certain parts of the world is unlawful or unregulated, resulting in approximately $10B to $20B in economic losses and significantly depleting…Continue
Added by Analyze on February 13, 2014 at 5:08am — No Comments
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as pro¯t and sales, °uctuate over time and form time-series data. Moreover, the time series data correspond to market segments, which are described by a set of…Continue
Big data is not expensive. You can process 10 terabytes of data per year on collocated servers using open source tools (Python - I do it in Perl), using your own home-made Hadoop system if needed, to score 100 billion transactions, all for less than $1,000 per year. It requires a bit of…Continue
Data and information silos are a significant problem for organizations getting full value from data. Data silos are separate databases or data files that are not part of an organization's enterprise-wide…Continue
I would like to know how can student find an internship within data scientist or statistic.
I am majoring in statistic and modeling in a top engineering school in france and I am looking for an internship in data mining within I will be able to performe my computional skills ( R,C++,JAVA) and also I will be able to bring my knowledge in statistic.
I am looking for all contries and regions so I am expecting advices or orientations from the members of big data…Continue
Using Big Data technology effectively, such as Map/Reduce or NoSQL, has two components: technical skills and high level expertise. An article in Harvard Business Review, January 2013, entitled How IT Fumbles Analytics, stated "Improving how businesses extract value from data requires more than analytical tools. It involves creating an environment where people can use the company's data and their own knowledge to improve the firm's operational and strategic performance."
Added by Stephen Penn, DM, PMP on February 10, 2014 at 10:20am — No Comments
Open ended-questions. What are your thoughts, how would you answer the following questions? Feel free to select a few of these questions (or create your own) and provide an answer in the "Comments" section. I'll add my own answers in the next few days.…
Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some…Continue
Data science might be one of the hottest buzzwords in 2013. But is it only a marketing gimmick? I don’t think so. In my opinion, data science can be the best protocol that reveals what’s happening every day in the real world.
The data science incorporates mathematics, statistics, computer science and…Continue
Added by Yuanjen Chen on February 6, 2014 at 6:30pm — No Comments
Starred articles are written by DSC staff.
Expand your Big Data skillset. Wiley offers a range of Big Data books covering the practical and theoretical aspects of…Continue
Added by Vincent Granville on February 6, 2014 at 3:30pm — No Comments
How much money do successful data scientists or analysts make, and which tools increase their salaries most? O’Reilly Media surveyed hundreds of Strata Conferenceattendees on both coasts for its first annual …Continue
Added by Vincent Granville on February 6, 2014 at 9:30am — No Comments
Big Data continues to be the buzzword du jour. And as with most popular concepts espoused by everyone from marketers and consultants to purveyors of software and infrastructure, the phrase can mean different things to different people. For us at Sullexis, we think of Big Data as a set of technologies that enable our clients to consume and process high volumes and/or diverse types of information.
But our clients need ROI. Neither access to a large amount of diverse data nor…Continue
Anyone planning to join the course 'Tackling the Challenges of Big Data' from MITX? What do you think about the industry recognition for this course?
The Telecom market is saturating and to increase their turnovers, operators are very creative and launch many innovative offers combining devices (mobile phone, MP3 players...), software (music downloads,...) and network (IP calls, ...). On another level, operators would first like to set trustworthy relationships with their good clients and therefore identify them and propose them quality services. To do so, the advanced knowledge of the customers’ past experience is fundamental. In fact,…Continue
Added by Michel Bruley on February 5, 2014 at 12:13am — No Comments
This is potentially one of the worst nightmares for security experts. This type of fraud has been observed in the context of click fraud, but the payload potential is far bigger if it ever gets implemented to steal bank account…Continue
Please join us in New York at the Sentiment Analysis Symposium Customer Insight Analytics Workshop on March 5 where Steven Ramirez, CEO of Beyond the Arc, will be presenting The Road to Customer Intelligence: Data, Analytics, Insight.
The afternoon workshop will offer a thorough, practical look at elements that business analysts, managers, and executives must master to compete in today’s…Continue
Added by Steven Ramirez on February 3, 2014 at 7:17am — No Comments
This weekend sees Super Bowl XLVIII come to New York (yes, we're well aware that the stadium is technically in New Jersey). Earlier this week one of our data scientists noticed the Empire State Building lights putting on quite a show. A quick search revealed that the iconic building's…Continue
Added by Nicholas Hartman on February 2, 2014 at 1:29pm — No Comments
If you provide online training, it's very easy to move your business out of California. None of these regulators are qualified to assess whether the training/content meet standards: they don't even know what data science means. Also, the tons of regulations that they have enacted apply to very traditional school settings. To qualify, you must send plans of the…Continue