[ COVER OF THE WEEK ]
Data security Source
[ LOCAL EVENTS & SESSIONS]
- Oct 18, 2018 #WEB DAMA-RMC: Time to Exorcise the Seven Deadly Data Sins at our Q4 Meeting!
- Sep 23, 2018 #WEB Free Webinar on Big Data with Scala & Spark – Live Instructor Led Session | Limited Seats | Seattle, WA
- Oct 24, 2018 #WEB Virtual Meetup: IBM AI in Action – Client and ISV use-cases
[ AnalyticsWeek BYTES]
[ NEWS BYTES]
[ FEATURED COURSE]
This course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and… more
[ FEATURED READ]
Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one strok… more
[ TIPS & TRICKS OF THE WEEK]
Keeping Biases Checked during the last mile of decision making
Today a data driven leader, a data scientist or a data driven expert is always put to test by helping his team solve a problem using his skills and expertise. Believe it or not but a part of that decision tree is derived from the intuition that adds a bias in our judgement that makes the suggestions tainted. Most skilled professionals do understand and handle the biases well, but in few cases, we give into tiny traps and could find ourselves trapped in those biases which impairs the judgement. So, it is important that we keep the intuition bias in check when working on a data problem.
[ DATA SCIENCE Q&A]
Q:How would you come up with a solution to identify plagiarism?
A: * Vector space model approach
* Represent documents (the suspect and original ones) as vectors of terms
* Terms: n-grams; n=1 to as much we can (detect passage plagiarism)
* Measure the similarity between both documents
* Similarity measure: cosine distance, Jaro-Winkler, Jaccard
* Declare plagiarism at a certain threshold
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
You can have data without information, but you cannot have information without data. – Daniel Keys Moran
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
In that same survey, by a small but noticeable margin, executives at small companies (fewer than 1,000 employees) are nearly 10 percent more likely to view data as a strategic differentiator than their counterparts at large enterprises.