[ COVER OF THE WEEK ]
Data security Source
[ LOCAL EVENTS & SESSIONS]
- May 10, 2018 #WEB Elasticsearch and Kibana with Hadoop
- May 29, 2018 #WEB Lean Six Sigma Black Belt-4 days Classroom Training in Phoenix
- May 30, 2018 #WEB PMI-ACP 3 Days Classroom Training in Indianapolis
[ AnalyticsWeek BYTES]
[ NEWS BYTES]
[ FEATURED COURSE]
6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending … more
[ FEATURED READ]
Mathematical superstar and inventor of fractal geometry, Benoit Mandelbrot, has spent the past forty years studying the underlying mathematics of space and natural patterns. What many of his followers don’t realize is th… more
[ TIPS & TRICKS OF THE WEEK]
Save yourself from zombie apocalypse from unscalable models
One living and breathing zombie in today’s analytical models is the pulsating absence of error bars. Not every model is scalable or holds ground with increasing data. Error bars that is tagged to almost every models should be duly calibrated. As business models rake in more data the error bars keep it sensible and in check. If error bars are not accounted for, we will make our models susceptible to failure leading us to halloween that we never wants to see.
[ DATA SCIENCE Q&A]
Q:What is star schema? Lookup tables?
A: The star schema is a traditional database schema with a central (fact) table (the observations, with database keys for joining with satellite tables, and with several fields encoded as IDs). Satellite tables map IDs to physical name or description and can be joined to the central fact table using the ID fields; these tables are known as lookup tables, and are particularly useful in real-time applications, as they save a lot of memory. Sometimes star schemas involve multiple layers of summarization (summary tables, from granular to less granular) to retrieve information faster.
– Array that replace runtime computations with a simpler array indexing operation
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
The world is one big data problem. – Andrew McAfee
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
94% of Hadoop users perform analytics on large volumes of data not possible before; 88% analyze data in greater detail; while 82% can now retain more of their data.