Added by William Vorhies on August 5, 2015 at 11:00am — No Comments
The following list of collections of collections of Data Science and Big Data Analytics Best Practices, Lessons Learned, and Success Stories is an updated version of a previous list posted here.
The flood of articles, webinars, and conferences related to Big Data is generating its own "infoglut". Consequently, it is really helpful when you find resources that…Continue
Added by Kirk Borne on August 5, 2015 at 10:57am — No Comments
To tackle any problem in a systematic and effective way, you must be able to break it down into parts. After all, understanding the problem is the first step to finding the solution. From there, you can develop a strategic battle plan. With data quality, the same applies: every initiative features many stages and many different angles of attack.
When starting a…Continue
Added by Martin Doyle on August 5, 2015 at 5:06am — No Comments
Artificial Intelligence in investing has long been practiced by secretive hedge funds like Renaissance Technologies. However, some of the same capabilities are being offered by companies to other players. Here are three examples of companies on how they are using data sets to predict stock & other financial market outcomes.…Continue
Added by Pansop on August 5, 2015 at 3:00am — No Comments
This is an interesting listing created by Bernard Marr. I would add the following great sources:
See the full blog here
R allows you to create different plot types, ranging from the basic graph types like density plots, dot…Continue
Added by William Vorhies on August 4, 2015 at 9:39am — No Comments
Which accounts should I follow on Twitter to stay up to date with Big Data?
This is a common question for those who want to learn about Big Data or know more about the field.
Well, it just so happened that I wanted to practise my skills with Python and with Twitter API, I have thus created a way to find and rank the most successful accounts talking about Big Data on Twitter.
Here is the…Continue
guest blog by Jin Kim, VP Product Development for…Continue
Added by William Vorhies on August 3, 2015 at 8:30am — No Comments
Some of you may not know that Aster provides deep capabilities in text analysis. These functions are easy to use. They also allow you to perform text analysis at scale. What does this mean? This means that I am able to take billions of customer service notes from a CRM system and perform text analysis. Here is a sample of some of the Aster Text Analytic Functions: (TextChunker, Vector Distance, Levenshtein Distance, Text_Parser, and TF_IDF)
Added by John Thuma on August 3, 2015 at 7:30am — No Comments
A recent Wikibon report found that enterprises are struggling to derive maximum value from Big Data. While they expect a return of around $3.50 on the dollar, their return to-date is just $0.55. So what stops the business from deriving value from analytics? Based on my extensive…Continue
Added by Bhavani Raskutti on August 2, 2015 at 4:57pm — No Comments
Guest blog post.
After reading many blog posts, articles and books, I have collected ingredients of data science! Moreover, I've classified them with a purpose of easily making a cook named as data science with below lists for whom wants to construct own career road map! Maybe, you wonder "why I am not giving the recipes of it" is because I do not have any real life experience. …Continue
Added by Mirko Krivanek on August 2, 2015 at 8:30am — No Comments
These presentations have been viewed between more than 25,000 times on average, though old articles have obviously more pageviews than new ones (assuming the popularity is identical), and some articles get more than 50% of their traffic more than 3 months after being published. Indeed, it's a very interesting statistical problem to adjust for this natural time bias.…Continue
What are your thoughts on this? What would be your answers?
Here's my list of questions:
Added by Mirko Krivanek on August 2, 2015 at 7:30am — No Comments