There are currently over 6,000 job listings on Indeed for “data engineer” in the San Francisco Bay Area. Let’s put this into context:
There are 3x more listings for data engineer than there are for data scientist
There are 2x more listings for data engineer than…
Added by Jake Stein on November 2, 2016 at 9:00am — No Comments
Added by Vincent Granville on November 2, 2016 at 8:00am — No Comments
Python, R and SAS are the three most popular languages in data science. If you are new to the world of data science and aren’t experienced in either of these languages, it makes sense to be unsure of whether to learn R, SAS or Python.
Don’t fret, by the time you’re done reading this article, you will know without a doubt which language is the right one for you.
Overview…
ContinueAdded by Aatash Shah on November 1, 2016 at 9:30pm — 8 Comments
Summary: If you want to capitalize on all the amazing advancements in data science take a look at these two hot growth areas for IoT. It's likely that these will be where a lot of venture capital is invested over the next year or two.
A lot of well deserved attention is being directed at speech, image, and text processing. The tools in this area are the CNNs and RNNs we've reviewed in recent articles. We'll continue to exploit and refine these capabilities probably…
ContinueAdded by William Vorhies on November 1, 2016 at 7:30am — 1 Comment
There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesses will succeed and grow, and which ones will fail. As a result, most savvy businesses now understand that they must be customer-obsessed to succeed. They must have up-to-the-second data and analytical…
Added by Ronald van Loon on November 1, 2016 at 7:00am — 4 Comments
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