Getting a handle on data science
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Articles about Getting a handle on data science
AI, ML and Data Engineering
AI, ML and Data Engineering
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Data Science up and down the Ladder of Abstraction
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Posted on
Dec 02, 2016
Although Clojure lacks the extensive toolbox and analytic community of the most popular data science languages, R and Python, it provides a powerful environment for developing statistical thinking and for practicing effective data science.
AI, ML and Data Engineering
AI, ML and Data Engineering
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649 Followers
From Raw Data to Data Science: Adding Structure to Unstructured Data to Support Product Development
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Posted on
Nov 25, 2016
With unstructured database technologies like Cassandra, MongoDB and even JSON storage in Postgres, unstructured data has become remarkably easy to store and to process. Software and data engineers alike can succeed in a world (mostly) free from data modelling, which is no longer a prerequisite to collecting data or extracting value from it.
AI, ML and Data Engineering
AI, ML and Data Engineering
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649 Followers
Solving Business Problems with Data Science
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Posted on
Nov 06, 2016
Enterprises are increasingly realising that many of their most pressing business problems could be tackled with the application of a little data science. This article, the first in a series, looks at the foundations of a successful business-orientated data science project.
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AI, ML and Data Engineering
AI, ML and Data Engineering
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649 Followers
Book Review: Cathy O’Neil’s Weapons of Math Destruction
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Posted on
Sep 06, 2016
“Big Data has plenty of evangelists, but I’m not one of them,” writes Cathy O’Neil, a blogger (mathsbabe.org) and former quantitative analyst at the hedge fund DE Shaw who became sufficiently disillusioned with her hedge fund modelling that she joined the Occupy movement.
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