Aug 31, 17: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Complex data  Source

[ AnalyticsWeek BYTES]

>> Focus on success, not perfection: Look at this data science algorithm for inspiration by analyticsweekpick

>> Customer Churn or Retention? A Must Watch Customer Experience Tutorial by v1shal

>> Why So Many ‘Fake’ Data Scientists? by analyticsweekpick

Wanna write? Click Here

[ NEWS BYTES]

>>
 Facebook Will Use Artificial Intelligence to Find Extremist Posts – New York Times Under  Artificial Intelligence

>>
 Google Cloud Expands into Australia | Fortune.com – Fortune Under  Cloud

>>
 Phenom People Named an IDC Innovator in New Talent Discovery Report – SYS-CON Media (press release) Under  Talent Analytics

More NEWS ? Click Here

[ FEATURED COURSE]

Artificial Intelligence

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This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances…. more

[ FEATURED READ]

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored f… more

[ TIPS & TRICKS OF THE WEEK]

Data Have Meaning
We live in a Big Data world in which everything is quantified. While the emphasis of Big Data has been focused on distinguishing the three characteristics of data (the infamous three Vs), we need to be cognizant of the fact that data have meaning. That is, the numbers in your data represent something of interest, an outcome that is important to your business. The meaning of those numbers is about the veracity of your data.

[ DATA SCIENCE Q&A]

Q:What is the Law of Large Numbers?
A: * A theorem that describes the result of performing the same experiment a large number of times
* Forms the basis of frequency-style thinking
* It says that the sample mean, the sample variance and the sample standard deviation converge to what they are trying to estimate
* Example: roll a dice, expected value is 3.5. For a large number of experiments, the average converges to 3.5

Source

[ VIDEO OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with Nathaniel Lin (@analytics123), @NFPA

 #BigData @AnalyticsWeek #FutureOfData #Podcast with Nathaniel Lin (@analytics123), @NFPA

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[ QUOTE OF THE WEEK]

What we have is a data glut. – Vernon Vinge

[ PODCAST OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with  John Young, @Epsilonmktg

 #BigData @AnalyticsWeek #FutureOfData #Podcast with John Young, @Epsilonmktg

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[ FACT OF THE WEEK]

In 2015, a staggering 1 trillion photos will be taken and billions of them will be shared online. By 2017, nearly 80% of photos will be taken on smart phones.

Sourced from: Analytics.CLUB #WEB Newsletter

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