Carl Anderson

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All round "swiss army knife" senior data scientist and researcher. Currently developing machine learning models for geospatial problems as well as algorithms for automated space planning (generative design) in architecture. Not afraid to jump into new domains, having previously worked in areas such as mathematical biology, lossless data compression, e-commerce, and healthcare. Broad set of skills and experience such as machine learning and statistics, agent based models, distributed problem solving and AI, evolutionary computation, and networks and network visualization. Most excited about deep learning's potential. Author of 2015 O'Reilly book "Creating a Data-Driven Organization."

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Aktuellste Beliebteste SlideShares

Carl Anderson

Inspiring healthy habits: data science at WW

Leveraging an in-house modeling framework for fun and profit

Data Quality: principles, approaches, and best practices

Setting up Data Science for Success: The Data Layer

Geo@Work, keynote from Carto Spatial Data Science conference

Creating a Data-Driven Organization -- thisismetis meetup

Creating a Data-Driven Organization, Data Day Texas, January 2016

Creating a Data-Driven Organization, Crunchconf, October 2015

Creating a Data-Driven Organization (Data Day Seattle 2015)

Creating a Data-Driven Organization: an executive summary