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Short course: Statistical Learning and Data Mining IV, Washington, DC, Oct 19-20
This new two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, including sparse models and deep learning.
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TalkingData Data Science Competition: understand mobile users
Unique opportunity to solve complex real world big data challenges for the China mobile market - predict users demographic characteristics based on their app usage, geolocation, and mobile device properties.
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New Book: Effective CRM using Predictive Analytics – get 20% discount
A comprehensive step-by-step guide to designing, setting up, executing and deploying data mining techniques in marketing. Use code VBM93 for 20% discount.
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Data Mining History: The Invention of Support Vector Machines
The story starts in Paris in 1989, when I benchmarked neural networks against kernel methods, but the real invention of SVMs happened when Bernhard decided to implement Vladimir Vapnik algorithm.
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AIG & Zurich on Machine Learning in Insurance
Where and how can machine learning be practically applied by insurers? And is it worth it? Read the white paper from insurance experts at AIG and Zurich.
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Angoss 9.6 Data Science Software Suite
Angoss software provides users with comprehensive scorecard building functionality that is fast, reliable, accurate, and business centric.
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JSU Computational and Data-Enabled Science and Engineering Program
JSU is among the first minority serving institutions to create a Big Data focused doctoral and graduate program for MS and PhD in Computational and Data-Enabled Science and Engineering - apply now.
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Salford Predictive Modeler 8: Faster. More Machine Learning. Better results
Take a giant step forward with SPM 8: Download and try it for yourself just released version 8 and get better results.
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The Secret to a Perfect Data Science Interview
How to interview a Data Scientist, in 5 steps. The secret to answering every question perfectly :).
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3 Viable Ways to Extract Data from the Open Web
We look at 3 main ways to handle data extraction from the open web, along with some tips on when each one makes the most sense as a solution.
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