ADAPTIVE Machine Learning
Machine Learning today tends to be “open-loop” – collect tons of data offline, process them in batches and generate insights for eventual action. There is an emergi...
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10 Great Data Science Articles by Bernard Marr
Bernard Marr is a best-selling business author, keynote speaker and consultant in big data, analytics and enterprise performance. As the founder and CEO of the Advanced P...
Big data in agriculture
The Data-Driven Weekly is kicking off 2016 by exploring how big data and analytics is powering data-driven business in different industries. First off is the world of agr...
Deep Learning Demystified
Guest blog post by Christopher Dole and other contributors, originally posted here. Created by SoothSayerAnalytics. Deep Learning is one of the most revolutionary an...
Learning R in Seven Simple Steps
Guest blog post by Martijn Theuwissen, co-founder at DataCamp. Other R resources can be found here, and R Source code for various problems can be found here. A data sc...
20 Data Science and Mathematical Challenges
I invite you to solve these challenges yourself before reading the solutions (for some of these problems) or hints to help you tackle these problems. Interesting Recursiv...
Scraping Ice and Fire
Contributed by Rob Castellano. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to ...
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...
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...
When Data Viz Trumps Statistics
Summary: Which is the most critical element in data exploration, statistics or data visualization? The answer is a little like the lyric ‘love and marriage, you can...