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Udacity Nanodegree Programs: Machine Learning, Data Analyst, and more
Develop new skills. Be in demand. Accelerate your career with the credential that fast-tracks you to career success.
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Predicting Popularity of Online Content
A look at predicting what makes online content popular, with a particular focus on images, especially selfies.
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Free eBook: Healthcare Social Media Analytics and Marketing
Get your free copy of a new ebook outlining social media marketing and analytics strategies (including code) for healthcare professionals.
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5 Ways in Which Big Data Can Help Leverage Customer Data
Every business enterprise realizes the importance of big data but rarely puts the customer data that they possess to good use. Here are few ways enterprises can leverage customer data.
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Let Me Hear Your Voice and I’ll Tell You How You Feel
This post provides an overview of a voice tone analyzer implemented as part of a cohesive emotion detection system, directly from the researcher and architect.
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Embrace the Random: A Case for Randomizing Acceptance of Borderline Papers
A case for using randomization in the selection of borderline academic papers, a particular use case which has parallels with many other possible scenarios.
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Deep Learning and Neuromorphic Chips
The 3 main ingredients to creating artificial intelligence are hardware, software, and data, and while we have focused historically on improving software and data, what if, instead, the hardware was drastically changed?
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Implementing Neural Networks in Javascript
Javascript is one of the most prevalent and fastest growing languages in existence today. Get a quick introduction to implementing neural networks in the language, and direction on where to go from here.
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Datasets Over Algorithms
The average elapsed time between key algorithm proposals and corresponding advances is about 18 years; the average elapsed time between key dataset availabilities and corresponding advances is less than 3 years, 6 times faster.
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How to Network and Build a Personal Brand in Data Science
SpringBoard shares some ideas on how to network and build a data career, as taken from a new guide they have put together on the topic.
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