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In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter. And then there’s this — not a blog, but a link to my 2013 TedX talk: “ Big Data, Small World.” Rocket-Powered Data Science (the website that you are now reading). That list will be compiled in another place soon.).
Why You Need To Read Data Science Books. Before we tell you why each of our entries makes the best books on data science, it’s important to give you a little context on this most exciting of modern fields. In 2013, less than 0.5% of all available data was analyzed, used, and understood.
In 2013, the company began a process of technological change that affected all its systems — ERP, e-commerce, and the hotel management platform in all establishments — with the aim to create a strong core ecosystem, with highly efficient processes, to allow it to scale and remain competitive.
It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014.
Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and DataMining (KDD), 2013. [3] 3] Bradley Efron, "Robbins, Empirical Bayes, and Microarrays" , Technical Report, 2003. [4]
European Control Conference (ECC), pages 3071-3076, 2013. [11] Springer Netherlands, 2013. [16] Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Proceedings of the Sixth ACM International Conference on Web Search and DataMining, WSDM ’13, page 123–132, New York, 2013. [28]
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