Polling new approach :Pew Research

  http://www.pewresearch.org/2017/03/31/are-telephone-polls-understating-support-for-trump/?utm_content=bufferc4b06&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer#fnref-289521-4 Are Telephone Polls Understating Support for Trump? Little evidence that telephone versus online interviewing affects polling data on public support for key policy proposals By Courtney Kennedy, Scott Keeter, Andrew Mercer, Nick Hatley, Nick Bertoni and Arnold Lau Five months after Donald Trump’s victory in the 2016 election, public opinion polls find him …

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Don’t tax robots; counter arguments

High quality global journalism requires investment. Please share this article with others using the link below, do not cut & paste the article. See our T&Cs and Copyright Policy for more detail. Email ftsales.support@ft.com to buy additional rights. https://www.ft.com/content/42ab292a-000d-11e7-8d8e-a5e3738f9ae4 Robots are wealth creators and taxing them is illogical Governments can offset lost jobs by investing …

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Mathematics of machine learning

  http://www.datasciencecentral.com/profiles/blogs/the-mathematics-of-machine-learning The Mathematics of Machine Learning Posted by Vincent Granville on February 15, 2017 at 8:00pmView Blog Guest blog post by Wale Akinfaderin, PhD Candidate in Physics. In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning …

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Data science links

  http://www.datasciencecentral.com/profiles/blogs/logistic-regression-vs-decision-trees-vs-svm-part-i http://www.datasciencecentral.com/profiles/blogs/7-tools-for-data-visualization-in-r-python-and-juliaYou http://www.datasciencecentral.com/profiles/blogs/advanced-machine-learning-with-basic-excel?utm_content=buffer67403&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer http://www.datasciencecentral.com/profiles/blogs/next-machine-learning-paradigm-dynamical-ml http://www.datasciencecentral.com/profiles/blogs/ten-top-languages-for-crunching-big-data http://www.datasciencecentral.com/profiles/blogs/how-to-parallel-programming-in-r-and-python-video https://www.r-bloggers.com/the-r-qgraph-package-using-r-to-visualize-complex-relationships-among-variables-in-a-large-dataset-part-one/amp/ http://www.datasciencecentral.com/profiles/blogs/machine-learning-in-parallel-with-support-vector-machines http://www.datasciencecentral.com/profiles/blogs/the-5-hottest-blog-posts-of-the-summer http://www.datasciencecentral.com/profiles/blogs/9-must-read-articles http://www.datasciencecentral.com/group/resources/forum/topics/benchmarking-20-machine-learning-models-accuracy-and-speed?xg_source=activity&utm_content=bufferc53fb&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer http://www.datavizualization.com/blog/taxonomy-of-3d-dataviz https://www.import.io/post/all-the-best-big-data-tools-and-how-to-use-them/?ref=quuu&utm_content=bufferca499&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer http://www.datasciencecentral.com/profiles/blogs/book-machine-learning-algorithms-from-scratch http://www.datasciencecentral.com/profiles/blogs/how-to-become-a-data-scientist-for-free?utm_content=bufferaff79&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer