Weekly Round-Up: Google's Quantum Computer, Data Science vs. Statistics & BI, Business Computing, and Detecting Terrorism Networks

Welcome back to the round-up, an overview of the most interesting data science, statistics, and analytics articles of the past week. This week, we have 4 fascinating articles ranging in topics from Google's new quantum computer to detecting terrorist networks. In this week's round-up:

  • Google Buys a Quantum Computer
  • Statistics vs. Data Science vs. BI
  • Could Business Computing Be Done by Users Without Technical Experience?
  • Can Math Models Be Used to Detect Terrorism Networks?

Google Buys a Quantum Computer

With the ever-increasing amount and complexity of data out there, companies at the edge of technology are starting to look for faster and more efficient ways to process, analyze, and put to use the data that is available to them. That is what Google seems to be working toward as they have purchased a quantum computer and are partnering with NASA to find ways to apply quantum computing to machine learning. This article has some more details about how they are looking to use it and what other companies are also looking into quantum computing.

Statistics vs. Data Science vs. BI

This is an interesting Smart Data Collective article that takes a stab at trying to differentiate between statistics, data science, and business intelligence. The author is a statistician, but ultimately feels that data scientist more accurately describes the work that he does and that's what led him to want to do the comparisons. Check it out and see how much you agree/disagree with his descriptions of each.

Could Business Computing Be Done by Users Without Technical Experience?

This is an article about business computing, how most of it is done using traditional spreadsheet programs, and what the difficulties and challenges that come with it have been. The author describes where spreadsheets are useful, but also where they have their shortcomings. At the end, he introduces a desktop BI solution called esCalc that attempts to correct many of these shortcomings and explains how it does so.

Can Math Models Be Used to Detect Terrorism Networks?

This article is about a paper published last month in the SIAM Journal on Discrete Mathematics. The subject of the paper was disrupting information flow in complex real-world networks, such as terrorist organizations. The article describes the similarities between terrorist networks and other hierarchical organizations and even some social networks. The article also talks about the type of model the authors are using and how the model works.

That's it for this week. Make sure to come back next week when we’ll have some more interesting articles! If there's something we missed, feel free to let us know in the comments below.

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