Has AI Gone Too Far? – Automated Inference of Criminality Using Face Images
Summary: This new study claims to be able to identify criminals based on their facial characteristics. Even if the data science is good has AI pushed too far into are...
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Why so many Machine Learning Implementations Fail?
A recent article in Techcrunch describes Twitter and Facebook issues: algorithms unable to detect fake news or hate speech. I wrote about how machine learning could be im...
Difference Between Data Scientists, Data Engineers, and Software Engineers – According To LinkedIn
This article was posted by Ryan Swanstrom on Data Science 101. Ryan is helping the world learn data science at Microsoft. The differences between Data Scientists, Data ...
Your CRM data should reveal your future success (or demise)
Guest blog by Chris Rigatuso. Chris is Founder and Board Member at the Skyfollow Consulting Group. He earned his MBA from the Haas School of Business (UC Berkeley), and l...
Machine learning as a service ? Might lose sleep over this !
This post is ‘not’ intended to teach people how to use popular predictive modelling APIs for free. Although, to your surprise, this isn’t a far fe...
Associative Data Modeling Demystified – Part1
Guest blog post byAthanassios Hatzis Relation, Relationship and Association While most players in the IT sector adopted Graph or Document databases and Hadoop based solut...
Why Oxytocin, Dophamine & Adrenalin are key to creating engaging Data Products ?
Human behaviors, rituals & habits are the outcome of complex interplay of the environment and experiences they have been exposed to. These definitely play a big r...
Product recommendations in Digital Age
By 1994 the web has come to our doors bringing the power of online world at our doorsteps. Suddenly there was a way to buy things directly and efficiently online. Then ...
IoT Machine Learning – Industrial or Printing Press revolution?
Guest blog post by PG Madhavan Many people worry that “AI” will usher in a new Industrial revolution where machines replace humans. My take is that it wi...
Who Made the News? Text Analysis using R, in 7 steps
This post covers the following tasks using R programming: cleans the texts, sorts and aggregates by publisher names creates word clouds and word associations The dataset ...