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Battle of the Data Science Venn Diagrams
First came Drew Conway's data science Venn diagram. Then came all the rest. Read this comparative overview of data science Venn diagrams for both the insight into the profession and the humor that comes along for free.
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Embedded Analytics: The Future of Business Intelligence
An overview of the evolution of Business Intelligence, and some insight into where its future lie: embedded analytics.
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Deep Learning Reading Group: SqueezeNet
This paper introduces a small CNN architecture called “SqueezeNet” that achieves AlexNet-level accuracy on ImageNet with 50x fewer parameters.
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Data Science of Sales Calls: The Surprising Words That Signal Trouble or Success
While not as profound a problem as uncovering the secrets of the universe, how to conduct a successful sales conversation is an age-old problem, impacting millions of people every day.
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Top Data Scientist Claudia Perlich on Biggest Issues in Data Science
Find out what top data scientist Claudia Perlich believes are - and are not - the biggest issues in data science today, and why spending 80% of their time with data preparation is not a problem.
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Random Forest®: A Criminal Tutorial
Get an overview of Random Forest here, one of the most used algorithms by KDnuggets readers according to a recent poll.
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SlangSD: A Sentiment Dictionary for Slang Words
The Slang Sentiment Dictionary (SlangSD) includes over 90,000 slang words together with their sentiment scores, facilitating sentiment analysis in user-generated contents.
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Urban Sound Classification with Neural Networks in Tensorflow
This post discuss techniques of feature extraction from sound in Python using open source library Librosa and implements a Neural Network in Tensorflow to categories urban sounds, including car horns, children playing, dogs bark, and more.
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KDnuggets™ News 16:n32, Sep 7: Cartoon: Data Scientist was sexiest job until…; Up to Speed on Deep Learning
Cartoon: Data Scientist - the sexiest job of the 21st century until...; Up to Speed on Deep Learning: July Update; How Convolutional Neural Networks Work; Learning from Imbalanced Classes; What is the Role of the Activation Function in a Neural Network?
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The Human Vector: Incorporate Speaker Embeddings to Make Your Bot More Powerful
One of the many ways in which bots can fail is by their (lack of) persona. Learn how speaker embeddings can help with this problem, and can help improve the persona of your bot.
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