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An introduction to designing and building data visualizations

An introduction to designing and building data visualizations

An introduction to designing and building data visualizations. Kristen Sosulski ksosulsk@stern.nyu.edu. About me. One of many influences…. Agenda. I. What is data visualization? II. What types of stories can you tell with a visualization? III. How to approach c reating visualizations?

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1.53k views • 127 slides
Artificial Neural Networks

Artificial Neural Networks

Artificial Neural Networks. Introduction. Artificial Neural Networks (ANN) Information processing paradigm inspired by biological nervous systems ANN is composed of a system of neurons connected by synapses ANN learn by example Adjust synaptic connections between neurons. History.

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1.42k views • 82 slides
Overview and Descriptive Statistics

Overview and Descriptive Statistics

Overview and Descriptive Statistics. Outline – Populations, Samples and Processes. Outline – Pictorial and Tabular Methods in Descriptive Statistics. Outline – Measures of Location. Outline – Measures of Variability. Chapter 1: Descriptive Statistics. 1.1 Populations, samples and processes.

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510 views • 35 slides
Louisville, KY August 4, 2009 Flash Flood

Louisville, KY August 4, 2009 Flash Flood

Louisville, KY August 4, 2009 Flash Flood. Frank Pereira NOAA/NWS/NCEP/Hydrometeorological Prediction Center. Motivation. Recent high-profile flood events highlight the need for situational awareness of low probability, yet high impact events. Louisville: Aug. 21, 2009.

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578 views • 32 slides
Louisville, KY August 4, 2009 Flash Flood

Louisville, KY August 4, 2009 Flash Flood

Louisville, KY August 4, 2009 Flash Flood. Frank Pereira NOAA/NWS/NCEP/Hydrometeorological Prediction Center. Motivation. Recent high-profile flood events highlight the need for situational awareness of low probability, yet high impact events. Louisville: Aug. 21, 2009.

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438 views • 32 slides

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