Pages : | 288 |
Size : | 36.6 MB |
File type : | |
Downloads: | 81 |
Created: | 2022-02-02 |
License: | CC BY-NC-ND |
Author(s): | Daniel Miller, Dr Elisabetta Costa, Nell Haynes, Tom McDonald, Dr Razvan Nicolescu, Jolynna Sinanan, Juliano Spyer, Shriram Venkatraman, Xinyuan Wang |
As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environment...
Fundamentals of Business Process ManagementDownload free course Fundamentals of Business Process Management, pdf file on 546 pages by Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers....
20 Awesome Uses for a Raspberry PiThis is a free Raspberry PI PDF tutorial in 22 chapters and 21 pages. This document aims to give students 20 awesome projects that you can use Raspberry PI....
The Hundred-Page Machine Learning BookEverything you really need to know in Machine Learning in a hundred pages!...
PicoLisp WorksDownload free course PicoLisp Works, pdf file on 467 pages by Thorsten Jolitz....
TouchDevelop, 3rd EditionThis book walks you through all of the screens of the TouchDevelop app, and itpoints out s..., download free TouchDevelop tutorial in PDF (270 pages) created by R. Nigel Horspool ....
Download Meteor Tutorial in PDFDownload free Meteor tutorial course in PDF, training file in 48 chapters and 172 pages. Free unaffiliated ebook created from Stack OverFlow contributor....
Think BayesIf you know how to program with Python and also know a little about probability, you're re..., download free Bayes tutorial in PDF (210 pages) created by ....
Think Stats, 2nd Edition: Exploratory Data Analysis in PythonIf you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. ...
Machine Learning for Cyber Physical SystemsThis Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. ...