Remove 2005 Remove Measurement Remove Metrics Remove Modeling
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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

In 2005, in “ What is Web 2.0? ,” I made the case that the companies that had survived the dotcom bust had all in one way or another become experts at “harnessing collective intelligence.” Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

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11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. " I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. The 10/90 rule.

Marketing 126
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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue.

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Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111
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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

In this article, we will be using synthetic market data generated by an agent-based model (ABM) developed by Simudyne. Rather than a top-down approach, ABMs model autonomous actors (or agents) within a complex system — for example, different kinds of buyers and sellers in financial markets. Intraday VaR. Citations. [1]

Risk 94
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Digital Marketing And Analytics: Two Ladders For Magnificent Success

Occam's Razor

To learn more about the Do in stage one please review my See-Think-Do-Coddle framework for content, marketing and measurement.]. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Bonus: Facebook Marketing: Best Metrics, ROI, Business Value ]. Don't do paid search. Beat Beneful.

Marketing 165