Reinforcement Learning and AI
Summary: At the core of modern AI, particularly robotics, and sequential tasks is Reinforcement Learning. Although RL has been around for many years it has become the...
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The Case for a New “Final Frontier” in Data Analytics
Guest blog post by Shay Pal This article has been contributed by Alain Louchez (Georgia Tech Research Institute) The Internet of Things already integrates a new...
Tracking migration patterns through Eastern and Southern Europe with Shiny
Contributed by Diego De Lazzari. He is currently in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to Septemb...
The current state of machine intelligence 3.0
This article was written by Shivon Zilis and James Cham. Watching the appeal and applications of machine intelligence expand: Almost a year ago, we published our now...
Book: Python Data Science Handbook: Tools and Techniques for Developers 1st Edition
The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and di...
Building an end-end search engine
“Information is the oil of the 21st century, and analytics is the combustion engine” Peter Sondergaard, SVP, Gartner Research In analytics, we retrieve infor...
Big data: Millennials on Social Media – digging a little deeper
It can be tempting to lump all the people who’ve spent more of their life with social media as one large group with largely the same interests and aims. Indeed, that is...
A Complete Tutorial to Learn Data Science with Python from Scratch
This article on a complete tutorial to learn Data Science with Pyhon from scratch, was posted by Kunal Jain. Kunal is a post graduate from IIT Bombay in Aerospace Engin...
12 Algorithms Every Data Scientist Should Know
A rather comprehensive list of algorithms can be found here. Many are posted and available for free on Github or Stackexchange. Algoritmia provides developers with ov...
TUPAQ – Automating Model Search for Large Scale Machine Learning
Simplifying and automating machine learning processes and techniques – that depend on large-scale, distributed datasets to achieve high statistical performance R...