This Week in Data Science (November 22, 2016)

Here’s this week’s news in Data Science and Big Data.

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Interesting Data Science Articles and News

• Maths zeroes in on perfect cup of coffee – Mathematicians are a step closer to understanding what makes a perfect cup of coffee.
• Black Friday 2016: Mobile vs Desktop User Behaviour – Black Friday statistics are analyzed to understand user purchasing behavior.
• How data science and rocket science will get humans to Mars – In a recent op-ed to CNN, President Obama re-affirmed America’s commitment to sending a manned mission to Mars.
• Cooking with Chef Watson, I.B.M.’S Artificial-Intelligence App – Watson makes suggestions that no human would ever make, like adding milk chocolate to a clam linguine or mayonnaise to a Bloody Mary.
• This temporary tattoo can listen to your heart – This new wearable is a stick-on stethoscope that’s smaller than a penny.
• How artificial intelligence can help journalists tell the truth – Facebook and Google are now the big beasts of the internet when it comes to distributing news – and as they have sought to secure advertising revenue, what has slowly but surely emerged is a kind of “click-mania”.
• Media in the Age of Algorithms – Since Tuesday’s election, there’s been a lot of finger pointing, and many of those fingers are pointing at Facebook, arguing that their newsfeed algorithms played a major role in spreading misinformation and magnifying polarization.
• IBM’s Computers Can Diagnose Skin Cancer – The smartphone is on a collision course with your local dermatologist.
• Big debate about Shakespeare finally settled by big data: Marlowe gets his due – Now, for the first time and with a bit of help from computers and big data, the Oxford University Press will add Christopher Marlowe as a co-author in all three Shakespeare “Henry VI” plays (Parts 1, 2 and 3).
• Beer Meets Big Data with Glassify – What if your beer glass could be more than the vessel that delivers precious nectar to your lips? What if it really knew you—and could hook you up with deals?
• The Non-Technical Guide to Machine Learning & Artificial Intelligence – There is already a ton of technical content being produced about artificial intelligence and machine learning. This list is a primer for non-technical people who want to understand what machine learning makes possible.
• Ethical Implications Of Industrialized Analytics – As analytics are embedded more and more deeply into processes and systems that we interact with, they now directly impact us far more than in the past.
• Text Analytics and Machine Learning: A Virtuous Combination – One particularly productive combination that should not be overlooked involves the use of text analytics and machine learning.
• Building a Data-Driven Education System in the United States – Schools today are not very different from 50 years ago. Instructors still teach to the average, rather than provide students personalized instruction, because it is expedient, not because it is effective.
• Digital transformation: Why the consumer is the channel – If you go back 10 years and tell a room full of marketers they need to focus their efforts on speaking to a target audience as individuals, they’ll think either you’re trying to cut their budgets or you’re crazy. Today, however, that approach is not crazy at all.

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