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Face and Emotion Detection using Microsoft Cognitive Services

July 14, 2016 By editor

Learning Tree International just published my article on using Microsoft Cognitive Services to perform face recognition and emotion detection. … [Read more...]

Filed Under: Machine learning Tagged With: emotion detection, face recognition

Status of Spark MLlib wrappers in SparkR

July 14, 2016 By editor

Wrappers for Spark's MLlib machine learning library in SparkR have been slow to arrive. However, the future looks bright. The imminent 2.0 release will bring k-means support to SparkR and the 2.1 release is scheduled to include wrappers for the following machine learning stalwarts Alternating Least Squares (ALS) Decision Trees Gaussian Mixture Models Isotonic Regression Latent Dirichlet … [Read more...]

Filed Under: Machine learning Tagged With: mllib, Spark, sparkr

The Mathematics of Machine Learning

July 14, 2016 By editor

Wale Akinfaderin, a research scientist intern at IBM Research, has written an article on the mathematical background required to fully understand machine learning. He includes a list of educational resources for those who wish to brush up in certain areas. Wale correctly stresses that you don't need this level of knowledge to start making use of machine learning. There are many packaged … [Read more...]

Filed Under: Machine learning Tagged With: learning, mathematics

First death in a self-driving car

July 12, 2016 By editor

The first death in a self-driving car occurred in May 2016. It was in a Tesla Model S travelling along a Florida highway. Apparently the car's Autopilot system got confused by a white truck against a bright sky and failed to brake. When AI systems fail, they sometimes fail big. Tesla noted in a press release this is the first fatality in 130 million miles, compared to an average of one fatality … [Read more...]

Filed Under: Artificial intelligence Tagged With: death, self-driving car, Tesla

Machine learning algorithm cheat sheet

July 12, 2016 By editor

The recent explosion of interest in machine learning has resulted in a profusion of algorithms. It can be difficult to know which one is most suited to your problem. Recognizing this challenge Microsoft have produced a machine learning algorithm cheat sheet. It's designed to allow you to choose between the algorithms available in Microsoft's Azure Machine Learning Studio, but, as many of the … [Read more...]

Filed Under: Data analysis, Machine learning Tagged With: cheat sheet, pdf

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