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July 2016 Blog Posts (73)

IoT 101 – Lesson 3: Everything You Need to Know to Start Your IoT Project

Summary:  In this Lesson 3 we continue to provide a complete foundation and broad understanding of the technical issues surrounding an IoT or streaming system so that the reader can make intelligent decisions and ask informed questions when planning their IoT system. 

In Lesson 1

In Lesson 2…

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Added by William Vorhies on July 5, 2016 at 7:33am — 1 Comment

Why Good Data Scientists are Worth the Big Bucks

Data scientist is the ‘Sexiest Job of the 21st Century’, so say Thomas Davenport and DJ Patil in their seminal 2012 Harvard Business Review article.

Since then, data scientists have been very much in demand and their wages have soared. Compared to statisticians, computer programmers and AI guys (who are still regarded as geeks), they are extremely well paid.

But…

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Added by Lee Baker on July 5, 2016 at 6:26am — 4 Comments

40 Techniques Used by Data Scientists

These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools. When you click on any of the 40 links below, you will find a selection of articles related to the entry in question. Most of these articles are hard to find with a Google search, so in some ways this gives you access to the hidden literature on data science, machine learning, and…

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Added by Vincent Granville on July 4, 2016 at 10:00am — 4 Comments

Applying ML to InfoSec: Adversarial ML

There seems to be very little overlap currently between the worlds of infosec and machine learning. If a data scientist attended Black Hat and a network security expert went to NIPS, they would be equally at a loss. 

This is unfortunate because infosec can definitely benefit from a probabilistic approach but a significant amount of domain expertise is required in order to apply ML methods.

Machine learning practitioners face a few challenges for doing work in this domain…

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Added by Arshak Navruzyan on July 4, 2016 at 10:00am — No Comments

How You Can Improve Customer Experience With Fast Data Analytics

In today’s constantly connected world, customers expect more than ever before from the companies they do business with. With the emergence of big data, businesses have been able to better meet and exceed customer expectations thanks to analytics and data science. However, the role of data in your business’ success…

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Added by Ronald van Loon on July 3, 2016 at 11:00am — 2 Comments

What is in a Name? A Data Scientist by any other name

This article was written by Bhavani Raskutti. Bhavani joined the ANZ Teradata Advanced Analytics team in 2014. She is internationally recognised as a data mining thought leader and is regularly invited to present at international conferences on Mining Big Data. She is passionate about transforming businesses to make better decisions using their data capital.

The term “data science” was first used by the statistician William H. Cleveland in his 2001 paper entitled, “…

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Added by Emmanuelle Rieuf on July 2, 2016 at 11:30pm — No Comments

100 Burritos in San Diego: 10-dimensional rating system

This article on the 10-dimensional burrito was posted by Scott Cole. Scott is a PhD student studying neuroscience at UC San Diego, currently researching the functions and measures of neural oscillations in the Voytek lab.

In his work, Scott and his team have developed a 10-dimensional system for rating the burritos…

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Added by Emmanuelle Rieuf on July 2, 2016 at 11:26pm — No Comments

Web Scraping and Data Analysis using Selenium Webdriver and Python

We all are surrounded by data and it reveals lot of things to us to make our decisions and recommends the next steps. Data is collected from different sources such as Web, Database, log files etc. and then it is thoroughly cleaned and reshaped, and further used for analysis and explored to determine the hidden patterns and trends which is really essential for any business decision making, Extracting data from web is always easy with the help of API's but what if website doesn't provide any…

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Added by Vinay Babu on July 2, 2016 at 7:30pm — 1 Comment

Weekly Digest, July 4

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. 

Featured Resources and Technical Contributions

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Added by Vincent Granville on July 2, 2016 at 12:39pm — No Comments

Weekly Digest, July 4

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. 

Featured Resources and Technical Contributions

Continue

Added by Vincent Granville on July 2, 2016 at 12:30pm — No Comments

Deconstructing Symbolic Expression

I sometimes ask myself while musing over the need for a particular service, "I wonder if this is commercially viable?" If the service is routine and the required software is rather inexpensive, perhaps there is little need for a company to outsource. I cannot think of any company that would routinely outsource work normally performed on a spreadsheet. I suspect that decades ago some companies hired specialists to handle spreadsheets; this seems much less likely today in light of the…

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Added by Don Philip Faithful on July 2, 2016 at 7:07am — No Comments

Four Recent Salary Surveys for Data Scientists

Here are a few interesting studies breaking down salaries by job title, gender, skills, experience, location and other factors.

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Added by Vincent Granville on July 1, 2016 at 11:00am — No Comments

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