Two Hot Growth Areas for IoT
Summary: If you want to capitalize on all the amazing advancements in data science take a look at these two hot growth areas for IoT. It’s likely that these wil...
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What Is the Future of Data Warehousing?
There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesse...
Scraping with 300 req/sec in R? Yes you can!
Try the new non-blocking http API in curl 2.1: R sitemap example, Jeroen Ooms, 2016 This code demonstrates the new multi-request features in curl 2.0. It creates an inde...
Introducing a Graph-based Semantic Layer in Enterprises
Originally posted on Data Science Central Things, not Strings Entity-centric views on enterprise information and all kinds of data sources provide means to get a mor...
Casting in java | Java Type Cast Tutorial for beginners
Casting in java: introduction This tutorial deals with casting in java . If you don’t know how to use java variables, please check our corresponding java variables t...
Deploying Predictive Models
Over the last decade, we have seen tremendous interest in the application of data mining and statistical algorithms, first in research and science and, more recently acro...
Big Data and Data Science Newsletter list to get you informed on anything “Data”
In a world where information is being shared in a high volume, velocity, variety and veracity having an idea what to read and manage to find good resources becomes very d...
Are you data driven or "almost"?
Data is the new black, so it not surprising most companies claim that they are data driven. But are you really? Let’s take a short quiz, add a point for each that ...
Four Recent Salary Surveys for Data Scientists
Here are a few interesting studies breaking down salaries by job title, gender, skills, experience, location and other factors. Salary Survey: What pays most: R, Python, ...
Top 5 Tools and Languages for Data Science
Guest blog post by Jason O’Rawe – ODSC data science team contributor. Data science is an interdisciplinary endeavor, and it serves the purpose of extracting insight f...