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Scoop.it!
Documentary which takes viewers on a rollercoaster ride through the wonderful world of statistics to explore the remarkable power they have to change our und... 
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Scoop.it!
by Joseph RIckert Nate Silver of 538 fame gave the President's invited address this year at the Joint Statistical Meeting in Montreal.
Phillip Trotter's insight:
Nat Silver's talk at the JSM focused on the links between journalism and statistics by presenting 11 principles for journalists that apply equally well to business and data analysts.
Scoop.it!
Michael P. Flowers is the Director of both New York City's Policy and Strategic Planning Analytics Team, which has been leading the charge on data analytics ...
Phillip Trotter's insight:
Good presentation on how New York City use data science and analytics to effectively allocate resources.
Scoop.it!
Is your startup struggling to solve a tricky data challenge? Data science startup Kaggle is launching a program today to rally its community of 70,000 statisticians from around the world to solve y...
Scoop.it!
Great article from Oreilly on how to build data scienceteams that cam create great data products, what skills and traits you need in your team and what type of environment (technical and working) needed to make it a success. If like us you are involved with working with data science teams on a regular basis - either helping create, manage or consult with them - this is a good article to read and pass on. To learn more click on the title or the image.
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Scoop.it!
If you eat ice cream, you're more likely to drown. That's not true, of course. It's just that both ice cream and swimming happen in the summer. The...
Phillip Trotter's insight:
Interesting article on data analytics, pattern analysis and guessing. and some great comments on the article as well - Worth a read.
Scoop.it!
As the volume of data grows by the hour, take comfort in knowing \
Phillip Trotter's insight:
Great set of tools for Exel to support better data analysis.
Scoop.it!
Utility Industry Analytics: Smart-grid enterprise IT spending to surpass $20 billion between now and 2020, led by predictive analytics, big data frameworks and customer tailoring
Phillip Trotter's insight:
Good article on the promise of the ability to analyze vast utility data and how in short term it will drive growth in big data anayltics sector but also illustrating the potential benefits for the utilities sector. Worth reading.
Scoop.it!
Good article on predicting trends and understanding when technologies bcome feasible for widespread adoption. William Hertling has kept a spreadsheet he uses to predict technology trends for almost 20 years. He uses simple metrics and estimates annual growth rates in performance to give insight itno when technologies will beocme widely available to the crowd. He argues that once a given technology achieves a cost performance ratio that is accessible to the mass market - thats when certain innovations will almost inevitably occur. Using video streaming, AI and other examples to illustrate his methods - its a great read if you are intereted in exploring future technolgy trends or making bets on tech developments. Click on image or title to learn more.
Scoop.it!
A predictive data analytics team in the Mayor's Office of New York City has been quietly using data science to find patterns in regulatory data that can then be applied to law enforcement, public safety, public health and better allocation of resources. In a good interview Michael Flowers explains why applying data science to regulatory data is necessary to use city resources better. This is the other aspect of smart cities - better analytics and models informing policy and practise. Worth readig. Click on the image or headline to learn more
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Hans Rosling is always worth watching... enjoy.