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What Your Nonprofit Needs To Know About Machine Learning

Global Giving

Machine learning models that make predictions to answer their questions usually need labeled training data. For example, a model built to predict if an email is spam will need to be trained on a dataset of emails with labels indicating whether each training example is spam or not.

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Measuring Your Blog's Outcomes and Use of Other Social Media Tools

Beth's Blog: How Nonprofits Can Use Social Media

Kevin Gamble left me a comment on a google analytics post that the " Depth of Visit Report " was one of the best metrics (coupled with referring source) for understanding visitor behavior on his university's web site. Kaushik offers up some metrics for blogging: Raw Author Contribution (posts & words in post).

Measure 50
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Measuring the Value of Your Blog: Reflections Over the Last Year

Beth's Blog: How Nonprofits Can Use Social Media

Measuring the success of social media efforts can't be done with a single metric. I think there will be different metrics for different strategies, organizations, and tools. Kaushik suggested these metrics for benchmarking blogs: Raw Author Contribution (posts & words in post). What does that mean? Technorati ???