Data Scientists Automated and Unemployed by 2025!
Summary: The shortage of data scientists is driving a growing number of developers to fully Automated Predictive Analytic platforms. Some of these offer true One-Clic...
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What I learned applying data science to data science salaries
I recently did an analysis on what factors help increase data science salaries. Here is some of what I learned helps increase your data science salary: 1) Learning clou...
10 Algorithm Categories for A.I., Big Data, and Data Science
This article was written by a Data-centric Executive Management, Chris Pehura. Chris is a management consultant with a data emphasis helping Fortune 100/1000 companies st...
40 Techniques Used by Data Scientists
These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whet...
Data without Emotion Doesn't Bring about Change
“There is no evidence that anybody has been converted by a pie chart.” So said Martin Palmer, secretary general of the Alliance of Religions and Conservation,...
The Guide to Learning Python for Data Science
Guest blog post by Martijn Theuwissen, co-founder at DataCamp.Other Python resources can be found here. Python is widely used for data analysis and you might have con...
The Amazing Ways Big Data Is Used In China
Big Data gets a lot of coverage these days, and it would be easy for anyone to believe that all the innovation is happening in the west, and particularly in Silicon Valle...
Automated Linear Regression for Really, Really Big Data
What do you think about Inora, a company that advertises itself as the New Linear Regression Approach – Scalable to Big Data. Our data scientist also developed aut...
Top Data Science Based Github Projects
This article is no longer available. We apologize for the inconvenience. To learn more about data science Github projects, click here. Some of the top Github projects in...
To Optimize or to Satisfice When Visualizing Data?
Is there a single “best” way to visualize data in a particular scenario and for a particular audience, or are there multiple “good enough” ways? That’s the deba...