This Week in Data Science (September 27, 2016)
Here’s this week’s news in Data Science and Big Data.
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Interesting Data Science Articles and News
- How Open Data Is Making Our Cities More Efficient – A new collaboration between the EU and Japan is looking to support the development of smart cities with a cloud-based shared platform
- Self-Driving Cars Gain Powerful Ally: The Government – Uber, the ride-hailing giant, began trials in Pittsburgh last week using driverless technology. The government’s new guidelines for autonomous driving will speed up the rollout of self-driving cars, experts said.
- MIT aims to make sense of Twitter’s presidential debate firehose – Using machine learning, Electome researchers analyze public’s debate conversations
- Like a gym membership, data has no value unless you use it – Data is like that gym. How much you use it, how well you exercise and apply it, and how far it reaches into your work life determine the value return from having it
- Meet Trace Genomics, The “23andMe” Of Soil – For $199, farmers can understand their soil better which is key to keeping their crops healthy.
- Researchers Use Wireless Signals to Recognize Emotions – System that uses reflected radio signals has potential applications for smart homes, offices and hospitals
- Is Artificial Intelligence Permanently Inscrutable? – Despite new biology-like tools, some insist interpretation is impossible.
- Watch: IBM Watson creates the first AI-made movie trailer – and it’s really eerie – Now IBM Watson has added yet another skill to its arsenal as it just learned how to make movie trailers.
- Airbnb Shows How Private Sector Can Use Data to Fight Discrimination – Airbnb has acknowledged the bias present on its platform, noting that “minorities struggle more than others to book a listing,” and has created a plan to tackle discrimination on its platform.
- What Math Looks Like in the Mind – In a surprise to scientists, it appears blind people process numbers by tapping into a part of their brains that’s reserved for images in sighted individuals.
- Top Algorithms and Methods Used by Data Scientists – Latest KDnuggets poll identifies the list of top algorithms actually used by Data Scientists, finds surprises including the most academic and most industry-oriented algorithms.
- Why The Cars of the Future Will Rely on the IoT – The future of vehicles is exciting, and engineers are working toward safer, simpler, and faster modes of transportation all the time.
- IBM Watson and The Weather Company Are Ready to Launch Their First Cognitive Ads – The Weather Company is getting ready to roll out its first ad campaign since being acquired by IBM earlier this year. But for the first brand, Campbell Soup Company, it’s featuring the supercomputer Watson as the chef.
- 14 Traits Of The Best Data Scientists – Actual data scientists are in high demand, and there’s not enough of them to go around. If you want to identify the right talent, consider these tips.
- How Big Data Changes the Economics of Renewable Energy – Big data can boost the transition to renewable energy sources much faster, says WSJ Energy Expert Jason Bordoff
Upcoming Data Science Events
- Deriving value from the data lake – Join Nik Rouda, Senior Analyst for Enterprise Strategy, on October 6th, to learn more about data lakes.
- Machine Intelligence Summit New York – Come hear from amazing speakers, discover emerging trends, and expand your network at the Machine Intelligence Summit on November 2nd-3rd.
- IBM Webinar: Driving Innovation and Growth with Big Data – Join Noel Yuhanna, Principal Analyst at Forrester Research, on October 6th, to hear how an emerging collection of technologies that Forrester calls big data fabric is driving innovation and growth.
New in BDU
- Text Analytics – This course introduces the field of Information Extraction and how to use a specific system, SystemT, to solve your Information Extraction problem.
- Advanced Text Analytics – This course goes into details about the SystemT optimizer and how it addresses the limitations of previous IE technologies.