On Building a “Fake News” Classification Model
This article is written by George McIntire. “A lie gets halfway around the world before the truth has a chance to get its pants on.” -Winston… Read More »On Building a “Fake News” Classification Model
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DSC Competition for Data Science and Quant Pros – $2,000 Award
Description of Contest Data Science Central (DSC) is excited to announce our competition to solve a new, interesting problem in statistical science, pertaining to stochastic processes. DSC… Read More »DSC Competition for Data Science and Quant Pros – $2,000 Award
The #1 IOT Challenge: Use Case Identification, Validation and Prioritization
You can’t get to the “What” and the “Why” by focusing on the “How” In the gold rush to “monetize” IOT, organizations are frantically installing… Read More »The #1 IOT Challenge: Use Case Identification, Validation and Prioritization
10 Companies Using Machine Learning in Cool Ways
This article was written by Dan Shewan. If science-fiction movies have taught us anything, it’s that the future is a bleak and terrifying dystopia ruled… Read More »10 Companies Using Machine Learning in Cool Ways
What Skills Do I Need to Become a Data Scientist?
Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it… Read More »What Skills Do I Need to Become a Data Scientist?
Artificial Neural Network (ANN) in Machine Learning
Artificial Neural Networks – Introduction Artificial Neural networks (ANN) or neural networks are computational algorithms. It intended to simulate the behavior of biological systems composed of “neurons”. ANNs are computational… Read More »Artificial Neural Network (ANN) in Machine Learning
Chronic Diseases and the Emphasis on Prevention
Contributed by Dina Mirijanian. Chronic diseases, such as heart disease, cancer and diabetes are among the most common and costly health problems. According to the Center… Read More »Chronic Diseases and the Emphasis on Prevention
Public Data Analytics Companies – who's winning (and not)?
A long, long time ago (maybe 10 years) the data analytics industry was fairly easy to define and track. Back in that pre-historic era SAS… Read More »Public Data Analytics Companies – who's winning (and not)?
How to Make the Leap from Excel to SQL
This article was written by Melissa Bierly. If you use Excel at work, you’re probably frustratingly familiar with this dialog box: You’ve probably also worked… Read More »How to Make the Leap from Excel to SQL
Free Deep Learning Book (MIT Press)
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in… Read More »Free Deep Learning Book (MIT Press)