This Week in Data Science (March 29, 2016)
Posted on March 29, 2016 by cora
Here’s this week’s news in Data Science and Big Data.
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INTERESTING DATA SCIENCE ARTICLES AND NEWS
- Domino’s has a robot delivering pizzas in Australia – Domino’s Pizza and Australian startup Marathon Robotics created a self driving delivery robot called DRU (Domino’s Robotic Unit).
- Election Tech: Big data identifies the 7 biggest media trends of the presidential election – Using the OpenText Election Tracker tool, TechRepublic used big data and media to learn about the relationship between media coverage and individual campaigns.
- 4 Questions You Should Ask Yourself Before You Implement Any Big Data Strategy – These four questions will help guide you to an effective big data strategy and help improve your business.
- IBM wants to accelerate AI learning with new processor tech – It currently takes a large amount of computing time and power to teach an AI. IBM hopes to drastically change this using “resistive processing units.”
- Understanding Aesthetics with Deep Learning – Gökhan Yildirim , Caterina Gilli and Fulya Lisa Neubert use deep learning to analyze the differences between professional and amateur photography.
- Implementing a multiple open source database strategy in the cloud – As developers strive to move to the cloud, they are shifting towards an open source and multi-database strategy. This is presenting new challenges for businessmen trying to adapt to the new technology.
- What you missed in Big Data: Analytics-as-a-service gaining steam – Companies like Google and Oracle Corp. are adding Analytics-as-a-service to their services.
- Twitter Facial Analysis Reveals Demographics of Presidential Campaign Followers – Yu Wang and his team, from the University of Rochester analyzed the Twitter follower demographics of Donald Trump and Hillary Clinton.
- Big data can solve big problems, but only if computing can keep up – Big data data is allowing scientists to solve bigger problems and answer some of the most challenging problems in science. To ensure this continues, leading countries in the data economy must ensure that computing power can keep up.
- Machine learning technique boosts lip-reading accuracy – Researchers at the University of East Anglia in the United Kingdom have developed a machine learning model that can read lips more accurately than humans.
- Reimagining Libraries In The Digital Era: Lessons From Data Mining The Internet Archive – As our world is becoming increasingly digital, libraries are no longer the primary keepers of knowledge. Thus, libraries are grappling with how best to reinvent themselves and enter the digital era.
- Can Machine Learning Help Lift China’s Smog? – In order to help decrease China’s increasing pollution, IBM’s research group is using Artificial Intelligence to predict pollution levels.
UPCOMING DATA SCIENCE EVENTS
- GPU Technology Conference – Join the insideBIGDATA team at the GPU Technology Conference on April 6th to learn about artificial intelligence and machine learning.
- Introduction to Python for Data Science – Learn about the basics of Python and how to apply them to data science on April 7th in Washington.
- Pass Business Analytics Conference – Learn from analytics industry experts on May 3rd-4th in San Jose.
- Introduction to Python – Learn the most important Python fundamentals on April 5th in Ottawa.
- What Happens When Laws Become Open Data? – Join the Center for Data Innovation on Tuesday, May 24th, in Washington, D.C. for a panel discussion exploring the impact of open legislative data on public and private sectors.
COOL DATA SCIENCE VIDEOS
- Becoming a Data Scientist – Will Kurt talks about his path from English & Literature to becoming the Lead Data Scientist at KISSmetrics.
- Introduction to Analytics – A Data Science Demo Class – This Data Science demo class goes over the basics in analytics, the strategies and processes used by data scientists, and discusses the main tools used in the industry.
- Data Science For The Rest Of Us – Learn about what a data scientist does in this math-free, jargon-free, pictorial explanation.