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John Pearce

Edmodo | Guide - 5 views

www.edmodo.com/guide

edmodo guide tutorial how to collaboration twitter web2.0 tools

shared by John Pearce on 11 Jul 10 - Cached
  • John Pearce on 11 Jul 10
     
    A step by step guide to getting stated with the great Edmodo community
John Pearce

Group discussion made easy | micromobs - 1 views

micromobs.com

collaboration microblogging micromobs messaging twitter

shared by John Pearce on 14 Oct 10 - Cached
  • John Pearce on 14 Oct 10
     
    micromobs is a group messaging service and is the easiest way to manage and communicate with multiple groups. micromobs presents your group messages as a stream of content which means you can chose which messages to respond to and which messages to skim over or ignore. This means your group messages will no longer clutter your inbox, and you wont need to go to different websites to interact with your various social groups.
Tony Searl

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

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

data datascience trends collaboration learning resources LAK11

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?"
Ruth Howard

Create stories using social media - storify.com - 6 views

storify.com

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shared by Ruth Howard on 10 Jun 11 - Cached
  • Ruth Howard on 10 Jun 11
     
    curate through social media using story telling
Ruth Howard

Infotention How-to (Discovery) | Social Media Classroom - 0 views

socialmediaclassroom.com/...infotention-how-discovery

How-to discovery social social media Infotention HowardRheingold attention digital literacy criticalliteracy education collaboration twitter interactive tools Web2.0 learning resources technology teaching classroom

shared by Ruth Howard on 16 Jun 11 - No Cached
  • Ruth Howard on 16 Jun 11
     
    "First step in creating a radar is process of discovery" Howard Rheingold on Infotention How To 
Tony Searl

5 way to make life easier for the audience « - 9 views

deangroom.wordpress.com/...e-life-easier-for-the-audience

groom ideas presentations change sticky learning resources interactive Twitter collaboration education

shared by Tony Searl on 24 Jul 11 - No Cached
  • Tony Searl on 24 Jul 11
     
    This is part of the 'change' problem, the way we attempt to persuade is simply not effective.
anonymous

Blog: What Ed Said - 3 views

whatedsaid.wordpress.com

blogs whatedsaid education learning technology collaboration twitter PLN

shared by anonymous on 21 Nov 09 - Cached
  • anonymous on 21 Nov 09
     
    Love this blog
neha2231

SAP Analytics Cloud training - 1 views

SAP Analytics Cloud is actually a software-as-a-company (SaaS) giving that gives all the analytics abilities for all customers in a single products. SAP Analytics Cloud and the palms-on materials ...

https:__www.anubhavtrainings.com_sap-analytics-cloud-training education learning teaching tools web2.0 resources technology collaboration twitter interactive

started by neha2231 on 31 May 20 no follow-up yet
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