This Week in Data Science (August 16, 2016)
Here’s this week’s news in Data Science and Big Data.
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Interesting Data Science Articles and News
- How Cloud Computing Helps The US Cycling Team – Through the IBM Watson Internet of Things Platform, coaches can track athlete power watts, lap timing, new muscle oxygenation and matched burned results in real time.
- Big data and robotics: A long history together – While the term “big data” is relatively new, the concept has long been a part of the world of robotics.
- Can a computer copy your handwriting? – Researchers at University College London have taught a computer to imitate anyone’s handwriting.
- Why Data Will Be Stored in Cloud Databases in the Future – Databases as a service has a high chance of becoming permanently accepted into the IT industry as a reliable Cloud offering.
- Facebook Helps Develop Software That Puts Students in Charge of Their Lesson Plans – Facebook and Summit Public Schools, a nonprofit charter school network, announced that nearly 120 schools planned to introduce a free student-directed learning system.
- IBM’s Almaden Lab: A glimpse into the future – Almaden lab, celebrated its 30th anniversary as an anomaly in a time when many profit-driven corporations have abandoned the uncertainties of pure research.
- AI’s Language Problem – Machines that truly understand language would be incredibly useful. But we don’t know how to build them.
- Getting Into Data Science: A Guide For Students And Parents – Students of data science aren’t taught strictly “data science” skills, rather they must become skilled in a variety of disciplines.
- Design Better Data Tables – The design of a table is its linchpin: if it’s done right, it makes complex data easy to scan and compare. If it’s done wrong, it can render information completely incomprehensible.
- Text analysis of Trump’s tweets confirms he writes only the (angrier) Android half – David Robinson, a Data Scientist at Stack Overflow, analyses Trump’s tweets and was able to decipher which ones are Trump’s and which ones are by his staff.
- In China, IBM Watson Partners With Hospitals To Fight Cancer – IBM and its Beijing-based partner, Hangzhou CognitiveCare, will work with hospitals across China to adopt “Watson for Oncology” in order to speed up diagnosis and treatment for cancer.
- A Look at IBM’s Watson 5 Years After Its Breathtaking Jeopardy Debut – IBM Watson has been a long way since its debut in jeopardy in 2011.
- 4 must-have database security essentials – To help ensure you keep your data protected at all times, here are four must have security capabilities.
- Donors for Bush, Kasich and Christie Are Turning to Clinton More Than to Trump – People who donated to establishment Republican candidates in the primary season are more likely to give money to Hillary Clinton, the Democratic nominee, than to their own party’s candidate, Donald J. Trump.
- Big data is people! – The sum of our clickstreams is not an objective measure of who we are, but a personal portrait of our hopes and desires.
- What are the 5 most popular programming languages and which pays the best salary? – Packt, a publishing house for technology and coding e-books, recently created a 2016 report which surveyed developers and IT professionals to look at emerging trends in IT and tech across the world.
- Introducing BigInsights for Apache Hadoop Basic Plan on Bluemix – IBM has been working on an open beta of the Basic Plan for IBM BigInsights on Cloud that allows users to acquire fully managed Apache Hadoop and Apache Spark clusters in a matter of minutes.
Upcoming Data Science Events
- IBM Webinar:Constant Contact: Using IBM BigInsights to Create Business Insight – Join this session to learn how Constant Contact, a leader in email marketing for small and medium sized businesses, is using IBM BigInsights to create useful insights for their clients in a way that scales.
- Visualizing Billions of Points of Data: Doing It Right – Join Continuum Analytics’ data scientists and engineers on August 18th for a webinar and learn to visualize and explore your largest data sets in new ways.