Scientific Computing

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To Solve Its Hardest Problems, Silicon Valley Turns to Physicists

It's a bad time to be a physicist.<p>At least, that’s what Oscar Boykin says. He majored in physics at the Georgia Institute of Technology and in 2002 …

The Mathematics of Machine Learning

(This article was first published on <b>R – Data Science Africa</b>, and kindly contributed to R-bloggers)<p><i>This post was first published on my Linkedin page</i> …

Machine Learning

What Is Deep Learning? | How It Works, Techniques & Applications

Examples of Deep Learning at Work<p>Deep learning applications are used in industries from automated driving to medical devices.<p>Automated Driving: …

Machine Learning

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Andrew Ng is Associate Professor of Computer Science at Stanford; Chief Scientist of Baidu; and Chairman and Co-founder of Coursera.<p>In 2011 he led …

Machine Learning

A look at the igraph package

by Joseph Rickert<p>The igraph package has become a fundamental tool for the study of graphs and their properties, the manipulation and visualization of …

A Short History of Machine Learning -- Every Manager Should Read

It’s all well and good to ask if androids dream of electric sheep, but science fact has evolved to a point where it’s beginning to coincide with science fiction. No, we don’t have autonomous androids struggling with existential crises — yet — but we are getting ever closer to what people tend to …

Artificial Intelligence

Pipelining R and Python in Notebooks

(This article was first published on <b> Revolutions</b>, and kindly contributed to R-bloggers)by Micheleen Harris<br>Microsoft Data ScientistAs a Data …

Python Programming

Scientific computing’s future: Can any coding language top a 1950s behemoth? | Ars Technica

Cutting-edge research still universally involves Fortran; a trio of challengers wants in.<p>“I don't know what the language of the year 2000 will look …