This Week in Data Science (December 27, 2016)

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

Don’t forget to subscribe if you find this useful!

Interesting Data Science Articles and News

• 6 big data trends to watch in 2017 – As more analytics systems become mission critical in 2017, big data leaders and CIOs should keep a close eye on these six trends, which include increases in cloud migrations and dark data usage.
• Family Matters Genealogy Knowledge Graphs Made Easy with GRAKN.AI – GRAKN.AI is an open-source knowledge graph data platform that uses the power of machine reasoning to help you overcome these challenges to build intelligent and cognitive systems.
• A non-comprehensive list of awesome things other people did in 2016 – For the last few years I have made a list of awesome things that other people did. Like in previous years I’m making a list, again right off the top of my head.
• A Guide to Solving Social Problems with Machine Learning – For the right type of problem, there are enormous gains to be made from using machine learning tools.
• How I Detect Fake News – Read how Tim O’Reilly traced the falsity of one internet meme, and what that teaches us about how an algorithm might do it.
• Most Popular Programming Languages For Machine Learning And Data Science – In recent times, the demand for machine learning and data science experts has witnessed an exponential growth. So, what programming languages should one learn to land a machine learning or data science job?
• The magic of planning analytics: A holiday story – We tend to imagine that the work of Santa’s elves at the North Pole is full of happy songs, bright smiles and endless cheer. But, many of us don’t know about something else at their workshop.
• A Beginner’s Guide to Big Data Terminology – Big Data includes so many specialized terms that it’s hard to know where to begin. Make sure you can talk the talk before you try to walk the walk.
• Top 4 big data and analytics trends of 2016 – Big data and advanced analytics continued to make inroads in the enterprise in 2016 as organizations learned how to interrogate data to better understand their customers and drive efficiencies.
• 2016: The Year That Deep Learning Took Over the Internet – Neural networks are the machine learning models that identify faces in the photos posted to your Facebook news feed.
• The 5 Basic Types of Data Science Interview Questions – Data science interviews are notoriously complex, but most of what they throw at you will fall into one of these categories.
• Machine learning, deep learning, and AI… – These buzzwords get thrown around all the time, but do we really know the differences between them?
• Data Science at Slush 2016 – Slush, Europe’s leading startup event, took place in Helsinki from November 30th to December 1st. Thousands of attendees including startups, investors, tech companies, and researchers came together to get a glimpse of the latest developments in a massive range of fields.