Key Factors in The Successful Use of Machine Learning
Finding patterns within the data is not always an easy task. It requires a lot of hard work because the patterns are often buried deep in the data. To make sure that you ...
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AI Is the Future of the Internet – and Finally Somebody Notices
Summary: You’d think that the internet was the core of the digital economy but it’s not. Data science is the core without which the digital economy wouldn’t exist...
5 Reasons Why Data Science Could Be the Advertising Wave of the Future
As of late, advertisement spending as a major aspect of aggregate showcasing cost has expanded. The purpose behind this is accuracy. With the support of better than ever ...
100 Free Tutorials for learning R
R language is the world’s most widely used programming language for statistical analysis, predictive modeling and data science. It’s popularity is claimed in ...
AI Writing script for short film
Guest blog by Annalee Newitz Annalee Newitz is the Tech Culture Editor at Ars Technica. Her work focuses on cultural impact of science and technology. She founded the s...
5 Questions To Ask When You Get A Data Dump To Analyse
As an analyst, our first reaction when we get the data to analyse is to ask an ETA. Then we plan to attack the data left-right-centre and crush the maximum juice out of i...
Data Analysis Method: Mathematics Optimization to Build Decision Making
Optimization is a problem associated with the best decision that is effective and efficient decisions whether it is worth maximum or minimum by way of determining a satis...
An executive’s guide to machine learning
This article was written by Dorian Pyle and Cristina San Jose on McKinsey&Company. Dorian Pyle is a data expert in McKinsey’s Miami office, and Cristina San Jos...
How well do facial recognition algorithms cope with a million strangers?
This article was written by Jennifer Langston. Co-authors include UW computer science and engineering professor Steve Seitz, undergraduate student and web developer Ev...
How Artificial Intelligence will Transform IT Operations and DevOps
To state that DevOps and IT operations teams will face new challenges in the coming years sounds a bit redundant, as their core responsibility is to solve problems and ov...