This Week in Data Science (November 01, 2016)

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

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Interesting Data Science Articles and News

• Democracy in the age of the Internet of Things – With the release of Swipe the Vote in spring 2016, Tinder, the ultimate hook-up app, broke new ground in the United States by claiming to be able to match young voters with their dream-perfect presidential candidate.
• 5 Simple Math Problems No One Can Solve – Easy to understand, supremely difficult to prove.
• Building an efficient neural language model over a billion words – New tools help researchers train state-of-the-art language models.
• These are the 10 hottest data jobs – With recruitment in data on the rise and big businesses investing heavily in the data sector, Hays are looking at the top jobs in data.
• Scholars use Big Data to show Marlowe co-wrote three Shakespeare plays – A new edition of William Shakespeare’s complete works will name Christopher Marlowe as co-author of three plays, shedding new light on the links between the two great playwrights after centuries of speculation and conspiracy theories.
• Predicting the Presidential Election – With the presidential election less than a week out, Greg shares how he uses data to predict the results of the race.
• What Happens When You Merge Virtual Reality with Big Data – Researchers at Cal Tech University are working on platforms that would allow scientists to use immersive virtual reality for multidimensional data visualization.
• Pokemon Go Increased U.S. Activity Levels by 144 Billion Steps in Just 30 Days – The latest gaming craze increases activity levels for players, regardless of their age, sex, or weight.
• Watch IBM Watson Suggest Treatments for a Cancer Patient – An IBM exec showed off a demo at Fortune’s inaugural Brainstorm Health conference.
• Once Again: Prefer Confidence Intervals to Point Estimates – Today I saw a claim being made on Twitter that 17% of Jill Stein supporters in Louisiana are also David Duke supporters. For anyone familiar with US politics, this claim is a priori implausible, although certainly not impossible.
• Data science and Big Data: Definitions and Common Myths – There are many ways to define what big data is, and this is why probably it still remains a really difficult concept to grasp.
• Accelerated Computing and Deep Learning – This is truly an extraordinary time. In my three decades in the computer industry, none has held more potential, or been more fun. The era of AI has begun.
• What to Know Before You Get In a Self-driving Car – Uber thinks its self-driving taxis could change the way millions of people get around. But autonomous vehicles aren’t any­where near to being ready for the roads.
• Education’s Response to the Big Data Skills Demand – What are universities and colleges doing to make Big Data skills easier to obtain, and how are they speeding up the educational process to get these people into the workforce faster?

Upcoming Data Science Events

• Introduction to Python for Data Science – Learn how to use Python for data science on November 10th.
• IBM Event: Analytics Strategies in the Cloud – Join IBM and 2-time Canadian Olympic gold-medalist Alexandre Bilodeau on November 7th for a complimentary event in Montreal where you’ll network, eat, drink and engage in an inspiring discussion on making business analytics easier and more available for all departments throughout your company.