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graham hughes

video tutorials on all popular software programs - 2 views

www.lookah.tv

resources videos

shared by graham hughes on 02 Oct 09 - Cached
  • graham hughes on 12 Apr 10
     
    A tool for teachers who are not experts on a particular piece of software. It has specific tasks for each application on the site and each video is short sharp and to the point.
levoker89

Artificial Intelligence Change the Way Mobile Applications - 0 views

australianbusinessnetwork.wordpress.com/...es-the-way-mobile-applications

Artificial Intelligence AI Technologies Mobile APPS Machine Learning Mobile Applications Engineers and Software Developers AI Companies

shared by levoker89 on 13 Sep 19 - No Cached
  • levoker89 on 13 Sep 19
     
    Artificial intelligence will become a $38 billion industry by 2025 and companies across all the domain. AI companies that are looking forward to building and revolutionize AI within the industry.
shoaibhashmi

Corel AfterShot Pro 2 Serial Number + Crack Keygen Full Free - 0 views

cracxpro.com/o-2-serial-number-crack-keygen

aftershot pro 2 serial corel crack download linux review key number 2.2.1 vs lightroom

shared by shoaibhashmi on 31 May 16 - No Cached
  • shoaibhashmi on 31 May 16
     
    Corel AfterShot Pro 2 Serial Number Crack Keygen Full is the great and award winning photo editing software from any other photo editing applications & soft
shoaibhashmi

Smart Driver Updater 3.4 License Key plus Crack Download - 0 views

www.djfull.net/driver-updater-3-4-license-key

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shared by shoaibhashmi on 28 Sep 15 - No Cached
  • shoaibhashmi on 28 Sep 15
     
    Smart Driver Updater 3.4 License Key is the best, easiest, update drivers and application software at worldwide that allows you feature new latest and auto
dean groom

HOW TO: Use Google Reader Like A Rockstar - 0 views

mashable.com/...how-to-use-google-reader

google reader rss

shared by dean groom on 08 Dec 08 - Cached
  • dean groom on 08 Dec 08
     
    As a browser based application it's easy to get going; no need to download software. To start using Google Reader, simply go to the main page and sign in using your Google account or create a new one. Once you do this you'll need to find some content to read.
Steve Madsen

I Can Animate (software) - 0 views

www.kudlian.net

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shared by Steve Madsen on 13 Sep 08 - Cached
  • Steve Madsen on 13 Sep 08
     
    I Can Animate has quickly established itself as the Stop Motion Animation tool for Mac OS X. Windows users can now enjoy using this fantastic application and join the growing numbers of 'would be' animators. I Can Animate is now used by educators and film makers world wide, wanting to create Stop Frame Animations (also known as claymation).
  • Steve Madsen on 13 Sep 08
     
    Site for software entitled I Can Animate. Other teachers have raved about it. Now available for Windows machines. Seems to be worth checking out.
anonymous

Write or Die : Dr Wicked's Writing Lab - 0 views

lab.drwicked.com/writeordie.html

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shared by anonymous on 25 Nov 08 - Cached
  • anonymous on 25 Nov 08
     
    Write or Die is a web application that encourages writing by punishing the tendency to avoid writing
anonymous

Download ManyCam free virtual webcam and webcam graphics software! - 0 views

download.manycam.com

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shared by anonymous on 03 Aug 08 - Cached
  • anonymous on 03 Aug 08
     
    Use your webcam with multiple applications at the same time and add cool graphics to your webcam video window.
Sue Tapp

PortableApps.com - Portable software for USB drives | Your Digital Life, Anyw... - 4 views

portableapps.com

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shared by Sue Tapp on 29 Mar 08 - Cached
  • dreamassignments on 15 Sep 18
     
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Tony Searl

What is data science? - O'Reilly Radar - 1 views

radar.oreilly.com/...what-is-data-science.html

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shared by Tony Searl on 22 Dec 10 - Cached
  • how to use data effectively -- not just their own data, but all the data that's available and relevant
  • Increased storage capacity demands increased sophistication in the analysis and use of that data
  • Once you've parsed the data, you can start thinking about the quality of your data
  • ...20 more annotations...
  • It's usually impossible to get "better" data, and you have no alternative but to work with the data at hand
  • The most meaningful definition I've heard: "big data" is when the size of the data itself becomes part of the problem
  • Precision has an allure, but in most data-driven applications outside of finance, that allure is deceptive. Most data analysis is comparative:
  • Storing data is only part of building a data platform, though. Data is only useful if you can do something with it, and enormous datasets present computational problems
  • Hadoop has been instrumental in enabling "agile" data analysis. In software development, "agile practices" are associated with faster product cycles, closer interaction between developers and consumers, and testing
  • Faster computations make it easier to test different assumptions, different datasets, and different algorithms
  • It's easer to consult with clients to figure out whether you're asking the right questions, and it's possible to pursue intriguing possibilities that you'd otherwise have to drop for lack of time.
  • Machine learning is another essential tool for the data scientist.
  • According to Mike Driscoll (@dataspora), statistics is the "grammar of data science." It is crucial to "making data speak coherently."
  • Data science isn't just about the existence of data, or making guesses about what that data might mean; it's about testing hypotheses and making sure that the conclusions you're drawing from the data are valid.
  • The problem with most data analysis algorithms is that they generate a set of numbers. To understand what the numbers mean, the stories they are really telling, you need to generate a graph
  • Visualization is crucial to each stage of the data scientist
  • Visualization is also frequently the first step in analysis
  • Casey Reas' and Ben Fry's Processing is the state of the art, particularly if you need to create animations that show how things change over time
  • Making data tell its story isn't just a matter of presenting results; it involves making connections, then going back to other data sources to verify them.
  • Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. They have to think about the big picture, the big problem. When you've just spent a lot of grant money generating data, you can't just throw the data out if it isn't as clean as you'd like. You have to make it tell its story. You need some creativity for when the story the data is telling isn't what you think it's telling.
  • It was an agile, flexible process that built toward its goal incrementally, rather than tackling a huge mountain of data all at once.
  • we're entering the era of products that are built on data.
  • We don't yet know what those products are, but we do know that the winners will be the people, and the companies, that find those products.
  • They can think outside the box to come up with new ways to view the problem, or to work with very broadly defined problems: "here's a lot of data, what can you make from it?"
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