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Why You Should Do A Cost-Benefit Analysis Before Throwing Your Next Nonprofit Fundraising Event

Bloomerang

The importance of a cost-benefit analysis for your fundraising strategies. James Greenfield is the guru of fundraising cost-benefit analysis. When it comes to individual giving, an acceptable cost-benefit ratio can depend on a range of factors: Your organization’s history, age, and size. Funding structure. raised ratio?

Analysis 144
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Sales Operations Demystified: What It Is, Why It Matters, and How To Do It Right

Wild Apricot

As the volume of business information exploded, sales ops has evolved into a more powerful data analysis and reporting unit that can provide critical insight on the following areas: Sales Process Optimization. The Structure of an Agile Sales Operations Unit. Performance Metrics Analyses. Formulation of Incentives Program.

Structure 161
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Building better pangenomes to improve the equity of genomics

Google Research AI blog

Building on Google’s deep learning technologies and past advances in genomics , we used tools based on convolutional neural networks (CNNs) and transformers to tackle the challenges of building accurate pangenome sequences and using them for genome analysis. Using graphs creates numerous challenges.

Build 124
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Guest Post by Steve Waddell: Systems Mapping for Non-Profits - Part 1

Beth's Blog: How Nonprofits Can Use Social Media

He agreed to write a four-part primer on a visual diagnostics, mapping, and social networking analysis primer and how nonprofits might use these tools for social change. There are new forms of “mapping”, including social network analysis , which can vastly enhance and speed understanding of the systems.

Map 86
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Preference learning with automated feedback for cache eviction

Google Research AI blog

This aspect of HALP is similar to reinforcement learning from human feedback (RLHF) systems, but with two important distinctions: Feedback is automated and leverages well-known results about the structure of offline optimal cache eviction policies. Aggregate worldwide YouTube byte miss ratio before and after rollout (vertical dashed line).

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Alation bags $123M at a $1.7B valuation for its data-cataloging software

TechCrunch

“With the astounding amount of data being produced today, it’s increasingly difficult for companies to collect, structure, and analyze the data they create,” Sangani said. “More specifically, Alation’s behavioral analysis engine spots behavioral patterns and leverages AI and machine learning to make data more user-friendly.

Data 86
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Concurrently Train Multiple Time Series Models Over Spark with XGBoost

Towards Data Science

I know that this is a controversial claim, but when it comes to structured tabular data then training on a distributed cluster (rather than on sampled data, for example) is often not justified. Hope this was helpful ** You can find a link to the full sample code here there are many resources on time series analysis and auto-regression.

Train 98