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Category: Machine Learning

Latest Machine Learning News

Machine Learning Posted onMarch 8, 2020

“Doing machine learning the right way”

Author: Rob Matheson | MIT News Office The work of MIT computer scientist Aleksander Madry is fueled by one core mission: “doing machine learning the […] Read More

Machine Learning Posted onMarch 6, 2020

Showing robots how to do your chores

Author: Rob Matheson | MIT News Office Training interactive robots may one day be an easy job for everyone, even those without programming expertise. Roboticists […] Read More

Machine Learning Posted onMarch 5, 2020

Imbalanced Classification with the Adult Income Dataset

Author: Jason Brownlee Many binary classification tasks do not have an equal number of examples from each class, e.g. the class distribution is skewed or […] Read More

Machine Learning Posted onMarch 5, 2020

DotData’s AI Builds Machine Learning Models All by Itself – IEEE Spectrum

Author: DotData’s AI Builds Machine Learning Models All by Itself  IEEE Spectrum Go to Source

Machine Learning Posted onMarch 4, 2020

A new model of vision

Author: Anne Trafton | MIT News Office When we open our eyes, we immediately see our surroundings in great detail. How the brain is able […] Read More

Machine Learning Posted onMarch 4, 2020

How is AI and machine learning benefiting the healthcare industry? – Health Europa

Author: How is AI and machine learning benefiting the healthcare industry?  Health Europa Go to Source

Machine Learning Posted onMarch 3, 2020

Kubeflow 1.0 solves machine learning workflows with Kubernetes – InfoWorld

Author: Kubeflow 1.0 solves machine learning workflows with Kubernetes  InfoWorld Go to Source

Machine Learning Posted onMarch 3, 2020

Predictive Model for the Phoneme Imbalanced Classification Dataset

Author: Jason Brownlee Many binary classification tasks do not have an equal number of examples from each class, e.g. the class distribution is skewed or […] Read More

Machine Learning Posted onMarch 2, 2020

AI and Machine Learning: Streamlining and Focusing Clinical Trial Recruitment – BioSpace

Author: AI and Machine Learning: Streamlining and Focusing Clinical Trial Recruitment  BioSpace Go to Source

Machine Learning Posted onMarch 1, 2020

Imbalanced Classification Model to Detect Mammography Microcalcifications

Author: Jason Brownlee Cancer detection is a popular example of an imbalanced classification problem because there are often significantly more cases of non-cancer than actual […] Read More

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