Seth Stephens-Davidowitz, Tim Andres Pabon (Narrator), "Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are" ISBN: 1538416883, ASIN: B06XCYD5KG | 2017 | MP3@64 kbps, PDF | ~07:40:07 | 206 MB
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz English | May 9, 2017 | ISBN: 0062390856, 0062497499 | EPUB | 354 pages | 2.7 MB
Data Analytics for Business Professionals MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 1.13 GB Genre: eLearning | Language: English Strategically contribute to the strategic planning, management and implementation of Data Analytics in your organization
Big Data Analytics: A Management Perspective Springer | Studies in Big Data | June 25, 2016 | ISBN-10: 3319389912 | 48 pages | pdf | 2.14 mb
Authors: Corea, Francesco Offers a condensed guide: short in length, but rich in notions and content for business people who do not have much time No technical language: completely understandable even for people with no technical background Deals with many different aspects of a big data strategy Created from direct experience in the field, as well as a series of informal interviews and colloquia with high-level executive at major banks and financial European institutions
Astronomy and Big Data: A Data Clustering Approach to Identifying Uncertain Galaxy Morphology by Kieran Jay Edwards and Mohamed Medhat Gaber English | ISBN: 331906598X | 2014 | 105 pages | PDF | 7 MB
With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo.