“I keep saying the sexy job in the next ten years will be statisticians. People think I’m joking, but who would’ve guessed that computer engineers would’ve been the sexy job of the 1990s?”, said Hal Varian chief economist at Google in 2009. These days machine learning and artificial intelligence are the sexiest fields, but their practitioners should be undercover statisticians. If you are looking for an intro into stats, this is a must-read post for you.
(more…)Tag: Python
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The marriage of artificial intelligence and art
Who has not ever wondered about the interplay between art and artificial intelligence? Here we share our thoughts on how art can help us to shed light on various aspects of scientific knowledge, how cognitive science serves as a bridge between art and science, and what the limitations of visualization techniques are.
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What if you need more labeled data? Label spreading and propagation
Although it is commonplace that we are living in the era of big data and experiencing a data deluge, tons of projects fail because of the lack of (labeled) data. If you don’t have enough data, you can’t make a great machine learning application, even if your team has got the brightest minds of the universe. In this post, we present an example of label spreading to get more labeled data using Python. If you are not a Pythonista, scroll down for other resources on the topic.
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How babies acquire their first words. From babbling to talking.
Language acquisition is one of the greatest mysteries of life. It takes only a few months to master one of the most complex phenomena in the world. Using the CHILDES database, we made an animated visualization of this process regarding English.
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So, you wanna learn algorithms?
The moment when one wants to learn about algorithms comes in every self-taught programmer’s life. Python can sort your lists, so learning about Quicksort algorithm seems to be wasting your time for a rookie. However at some point in your life, you encounter problems that can be solved with the algorithmic toolbox. This post presents six books, which introduce you into the world of algorithms at different levels.
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