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Things You Can Do with a Recurrent Neural Network

In this video presentation from the Linux.conf.au 2015 in Auckland, New Zealand, Douglas Bagnall examines a particularly hot topic in deep learning, namely recurrent neural networks, and all the things you can do with them.

Book Review: Weapons of Math Destruction by Cathy O’Neil

Normally the books I review for insideBIGDATA play the role of cheerleader for our focus on technologies like big data, data science, machine learning, AI and deep learning. They typically promote the notion that utilizing enterprise data assets to their fullest extent will lead to the improvement of people’s lives. But after reading “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy,” by Cathy O’Neil, I can see that there’s another important perspective that should be considered.

How Data is Stored and What We Do With It

The amount of data in the world is increasing as our storage devices are becoming smaller and more powerful. With this abundance of data there is an increased focus on the ways we retrieve, manipulate, and use the data we’ve stored. To learn more, checkout the infographic below created by our friends over at Rutgers University’s Online Master of Information.

Applying Data Analytics to Taxation Best Practices

In this contributed article, technology writer and blogger Kayla Matthews discusses how data examination techniques can aid the day-to-day activities of people that most business leaders have on their support team: taxation specialists.

Recommendation Systems – How the World Suggests What You Should Watch Next

From the medical industry to the entertainment industry, companies are now investing in big data and algorithm software to collect and analyze analytics to enhance user and client experience. In the infographic below, created by our friends at the New Jersey Institute of Technology’s Online Masters in Computer Science program, we take a closer look at recommender settings and their influence on what the world watches.

7 Reasons to Use Big Data When You Have a Small Business

In this contributed article, Sarah Kearns, Senior Communications Manager for BizDb, discusses 7 reasons to use big data when you have a small business. Big data is all of the information you can glean about your customers and your business on a day to day basis. When properly utilized and analyzed, this data can give you valuable insights into your company.

TOP 10 insideBIGDATA Articles for September 2017

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

“Above the Trend Line” – Your Industry Rumor Central for 10/2/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Why Healthcare May Be the Hottest Industry Sector for Data Analysts in 2018

In this contributed article, freelance human Avery Phillips discusses how if you’re a data analyst in search of a secure industry on which to hang your hat, rather than heading to Silicon Valley to join (or begin) a startup, you might consider pursuing work with a local hospital or public health clinic.

Why We Should Temper Our Optimism About IoT

In this contributed article, Sheza Gary, a technical director at Algoworks, discusses a few pros and some serious cons with IoT and how it’s important to note that IoT is still not an extraordinarily mature technology. The silver lining is that manufacturers are all very aware of all these problems and have been working on fixing them to the best of their abilities. At some point, we can expect tightly-secured, future-proof, and privacy-oriented hardware that responds not only to the demands of a convenience-driven economy but also to its need for hardened technologies.