Humanizing the Data Scientist

Whether you are attempting to analyze Big Data for human or machine consumption should inform your selection of the right person do tackle the job.

Source: www.itbusinessedge.com

Hard-science data scientists need to develop highly complex models. Since machines will consume their models, they don’t have to worry about the messy task of interpreting the data for humans.

 

 

If you want analytics for managers, however, you’re better off seeking someone with a social or medical science background, because their training focuses more on issues such as how and why. These are the data scientists who focus on drawing a story from the data, even if they must use simpler models. Actual humans need to understand the results, and you know what stinkers they can be.

See on Scoop.itData Nerd’s Corner

“Data scientists aren’t quite unicorns, but they’re close”: How to avoid a big data nightmare

Organisations wishing to avoid being outmoded by competitors or outgrown by customers need to embrace a data-driven approach to management and decision making. The path to success is clear.

Source: www.tgdaily.com

There simply aren’t enough data scientists in the world today, nor will there be in the foreseeable future. Instead of focusing on finding a single data scientist, you should instead focus on building data science teams from within your organisation. Train team members in-house to manage your ccustomizedbig data initiatives. Find enthusiastic DBAs and business analysts willing to learn and take the next step, and offer the on-the-job training they need to take it.
Read more at http://www.tgdaily.com/enterprise/125826-data-scientists-arent-quite-unicorns-but-theyre-close-how-to-avoid-a-big-data#im1OlpHivsX7FMb3.99

See on Scoop.itData Nerd’s Corner

Tech firms’ most wanted: data scientists

FOR his PhD in astrophysics, Chris Farrell spent five years ­mining data from a giant particle accelerator. Now, he spends his days analysing ratings for Yelp’s online business-review site.

Source: www.theaustralian.com.au

“People call them unicorns” because the combination of skills required is so rare, said Jonathan Goldman, who ran LinkedIn’s data-science team that in 2007 ­developed the “People You May Know” button, which five years later drove more than half of the invitations on the professional-networking platform.

 

Employers say ideal candidates must have more than traditional market-research skills: the ability to find patterns in millions of pieces of data streaming in from different sources, to infer from the patterns how customers behave and to write statistical models identifying behavioural triggers.

See on Scoop.itData Nerd’s Corner

The Myth Of The Digital Shortcut | The Story of Telling

Advertising and marketing is shifting from being in the persuasion business to becoming data driven behavioural economics industries.

Source: thestoryoftelling.com

The data seems like a shortcut to understanding our customers. But the data in isolation is worthless without the intention to make people’s lives better. We can use it to game people into buying two extra packs of toilet paper this week, or we can choose to do something significant that will probably keep them coming back for a lifetime.

See on Scoop.itWhat is Data Science

Who Is Your Customer? 10 Ways to Find Out

Learn how to identify your ideal group of customers with this list of 10 things to consider, examples, and a practice problem.

Source: www.businessforbeginners.ca

O IDENTIFY YOUR TARGET DEMOGRAPHIC, CONSIDER THESE 10 THINGS:

Still not sure where to begin for your idea? No problem. First, if you know of a similar business, go there and see what kind of people spend time there. If it’s a web-based business, look at the websites of companies that are doing something similar to what you have in mind for your business. Also, use the tips and tricks you learned in the Dollar Shave Club practice problem to examine a website for clues on who their customer is. This is an iterative, ongoing process, and the information you gather now will have to be validated through more research and the data you collect over time. If you want to open a Thai restaurant, for example, visit other Thai restaurants! Another option is to just close your eyes and picture a room filled with your future customers. For either method, think about the following ten things, with the first six being especially important in the beginning stages.

See on Scoop.itWhat is Data Science

Getting My Brain Back | TechCrunch

I can’t do it anymore. This has been a summer of social media. I’ve used it endlessly, made plans on it, chatted, read it religiously, and watched countless..

Source: techcrunch.com

So I’m taking my brain back. Facebook doesn’t pay me enough for my attention. LinkedIn hasn’t gotten me a single job. All the also-ran social networks offer little in the way of true value. In the end, I need to give my attention to my kids, my writing, and my reading. I don’t need to see your cat or your Candy Crush score. Come over and we’ll grab beers and you can tell me about your favorite movie

See on Scoop.itWhat is Data Science

Getting My Brain Back

analyticalsolution:

So I’m taking my brain back. Facebook doesn’t pay me enough for my attention. LinkedIn hasn’t gotten me a single job. All the also-ran social networks offer little in the way of true value. In the end, I need to give my attention to my kids, my writing, and my reading. I don’t need to see your cat or your Candy Crush score. Come over and we’ll grab beers and you can tell me about your favorite movie

Originally posted on TechCrunch:

I can’t do it anymore. This has been a summer of social media. I’ve used it endlessly, made plans on it, chatted, read it religiously, and watched countless friends and friends of friends go on vacation. I’ve played a game of whack-a-mole with LinkedIn invitations and I’ve streamlined my automatic Tweeting systems. I’ve watched the world buzz by 140 characters at a time. I’ve seen hundreds of beautiful photos of beaches and old castles and bars and beers and whiskeys and sandwiches and endless cats and I don’t want to see any more. I’m done.

I’m taking my brain back.

I’ve noticed a few things happening over the past few years. First, I noticed that I primarily use social media at night, in bed, staring at the iPad while my lady wife snores beside me. When I couldn’t sleep at 4am I turned on Twitter and sent messages to people…

View original 570 more words

Microsoft yanks problematic update after reports of system crashes

Microsoft has quietly recommended that users uninstall one of last week’s security update after some users reported irrecoverable system crashes.

Source: www.fiercecio.com

Some users have experienced system crashes and issues restarting their systems, even in Safe Mode. As reported by Computerworld, some users were able to regain control of their PCs using System Restore, though only after booting their computers using original install media.

See on Scoop.itWhat is Data Science

50 Data Science Gurus (and 10 Organizations) You Must Follow On Twitter

Get ready to up your data science game on Twitter.
Our own Ben Bruning (@NCSUalum) recently scoured the Twitterverse for top data science accounts.
Ben started with a search for “data science” and…

Source: blog.automatedinsights.com

Ben started with a search for “data science” and “data scientist,” then chose accounts with a strong focus on data topics.

He also included some popular accounts that occasionally go off-topic but still frequently drop tasty nuggets of data-driven wisdom.

The result: a list of 50 excellent data science gurus to follow on Twitter, plus 10 follow-worthy data science organizations

See on Scoop.itWhat is Data Science

Can you afford big data – and is it worth the money? | Information Age

The promise is timely access to essential business insight, but the reality is a massive dent in the CFO’s budget. So why are organisations still investing in big data projects?

Source: www.information-age.com

Big data is dominating the CFO’s agenda with CIO’s requesting ever-increasing budgets to keep pace with the technological challenges of managing ballooning volumes of data.

But how does a CFO measure the value from this additional IT spend? Of course the ability to rapidly analyse data in theory offers huge benefits in improved business understanding and increased agility. But are any of these projects delivering?

See on Scoop.itWhat is Data Science

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