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marketngedwisor

Data Science - The Next Big Thing in Technology - 0 views

blog.edwisor.com/...e-next-big-thing-in-technology

data science scientist jobs demands

shared by marketngedwisor on 03 Aug 19 - No Cached
  • marketngedwisor on 03 Aug 19
     
    What would be a career for a data scientist in the coming days? Data Science is the next big thing in decision-making like it helping in corporations in many industries process. Data science careers are in high demand, but there's a shortage of qualified data scientist professionals. If you are looking to transition your career to data science, then edWisor is the best choice for you as here you will get live project for data science as well 4 Guaranteed interviews at top tech companies.
Benno Hansen

Media Companies Must Become Trusted Data Hubs » Article » OWNI.eu, Digital Jo... - 0 views

owni.eu/...s-catering-to-the-trust-market

media journalism data

shared by Benno Hansen on 23 Mar 11 - No Cached
  • Advertising and journalism do not complement each other the way they used to.
  • successful media companies of the future have to build an infrastructure that turns them into reliable data hubs, able to analyze even very large and complex datasets internally and to build stories on their insights
  • machine can assemble large portions of articles through structured data
  • ...10 more annotations...
  • computers are getting ever closer to mastering the subtleties of human communication
  • Any event can be described by fundamental data: latitude, longitude, time and date and importance.
  • the fundamental role of journalism will remain the same: searching for truth, and demanding accountability of those in power
  • the majority of online journalists are stuck working with outdated or unimaginative tools
  • Trust, not information, is the scarce resource in today’s world. Trust is something that is hard to earn and easy to lose. And it is a core element of journalism
  • The trust market is still up for grabs. Most media players are still competing in the “attention market.”
  • fact collection will be organized rather than done by journalists
  • In the future, many journalists will resemble project managers, aggregating resources around platforms like Ushahidi rather than dashing adventurers
  • In an era where more and more users have a camera phone and a way to put that content online, the journalist becomes the one who’s best able to curate and validate material from the data deluge, not just adding to it. Crowdsourcing should allow media organizations to devote more resources to vetting information produced by others, and thereby gaining trust.
  • Many investigations will be led behind a computer as journalists organize a community of users and a team of developers to get stories out.
Kiran Kuppa

Machine Learning Video Library - Learning From Data (Abu-Mostafa) - 0 views

work.caltech.edu/...index.html

machine networks statistics learning video lectures

shared by Kiran Kuppa on 30 Jan 13 - No Cached
  • Kiran Kuppa on 30 Jan 13
     
    These are a set of video lectures by Prof. Yaser S. Abu Mostafa of Caltech on Statistical Learning Theory that accompany his book "Learning from Data". The topics covered in brief are: 1.Bayesian Learning 2. Bin Model 3. Data Snooping 4. Ensemble Learning 5. Gradient Descent 6. Learning Curves (Regression) 7. Neural Networks 8. Overfitting problem 9. Radial basis functions and Regularization 10. Support Vector Machines 11. VC Dimension
jennajmurray

DATA AS A SERVICE (DAAS) - 0 views

www.rangtech.com/...data-as-a-service-daas

#CloudComputing

shared by jennajmurray on 11 Oct 23 - No Cached
  • jennajmurray on 11 Oct 23
     
    DaaS manages to make leverage of the well-known software-as-a-service (SaaS)model, which enables users to use cloud-based software programs provided over a network as opposed to establishing dedicated hardware servers for a particular set of data. To read the full blog visit: https://www.rangtech.com/blog/cloud/data-as-a-service-daas
Benno Hansen

Clive Thompson on Why We Should Learn the Language of Data | Magazine - 0 views

www.wired.com/...st_thompson_statistics

statistics data probability

shared by Benno Hansen on 17 Jul 10 - Cached
  • We live in a world where the thorniest policy issues increasingly boil down to arguments over what the data mean. If you don’t understand statistics, you don’t know what’s going on — and you can’t tell when you’re being lied to.
  • Activists propagate horror stories
  • correlation is not causation. And individual stories don’t prove anythin
  • ...2 more annotations...
  • our inability to grasp statistics — and the mother of it all, probability — makes us believe stupid things
  • Statistics is the new grammar
Benno Hansen

Automated News Comes To Sports Coverage Via StatSheet - 0 views

techcrunch.com/...utomated-news-sports-statsheet

media journalism data sports

shared by Benno Hansen on 23 Mar 11 - No Cached
  • We may no longer need the humans, at least for data-driven stories.
  • Every story on each site was written by a robot, or to put it more precisely, by StatSheet’s content algorithms. “The posts are completely auto-generated,” says founder Robbie Allen. “The only human involvement is with creating the algorithms that generate the posts.”
  • It has about 20 different types of articles that it generates, from season previews to game recaps. StatSheet might analyze 10,000 data points and 4,000 possible phrases to generate a single story.
Benno Hansen

The Economist explains: How might your choice of browser affect your job prospects? | T... - 0 views

www.economist.com/...-browser-affects-job-prospects

browser job statistics data

shared by Benno Hansen on 12 Apr 13 - No Cached
  • applicants who have bothered to install new web browsers on their computers (such as Mozilla's Firefox or Google's Chrome) perform better and stay in their posts for 15% longer, on average, than those who use the default pre-installed browser that came with their machine (ie, Internet Explorer on a Windows PC and Safari on an Apple Mac)
  • applicants who belonged to one or two online social networks tended to stay in their jobs for longer than those who belonged to four or more social networks
Benno Hansen

Why Cities Keep Growing, Corporations And People Always Die, And Life Gets Faster | Con... - 0 views

edge.org/...geoffrey-west

cities corporations growth complexity economy urbanism research statistics data physics vidoe Geoffrey West

shared by Benno Hansen on 05 Jan 12 - No Cached
  • you have to innovate faster and faster in order to avoid the collapse
  • The system will collapse, because eventually you would have to be making a major innovation, like you know, IT every six months. Well, that's completely crazy.
  • There's a theorem you can prove that says that if you demand continuous open growth, you have to have continuous cycles of innovation. Well, that's what people believe, and it's the way people have suggested that’s how you get out of the Malthusian paradox. This all agrees within itself but there is a huge catch.
  • ...3 more annotations...
  • We have open-ended growth, increase in pace of life, and the threat of collapse because of the singularity. But there's a big catch about this innovation. Theory says, sure, you can get out of collapse by innovating, but you have to innovate faster and faster.
  • It's great on the one hand that you have this open ended growth. But if you kept going, of course, it doesn't make any sense. Eventually, you run out of resources anyway, but you would collapse
  • One of the bad things about open-ended growth, growing faster than exponentially, is that open-ended growth eventually leads to collapse. It leads to collapse mathematically because of something called finite times singularity.
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