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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Machine Learning Posted onSeptember 20, 2018

Reducing false positives in credit card fraud detection

Author: Rob Matheson | MIT News Office Have you ever used your credit card at a new store or location only to have it declined? […] Read More

Data Science Posted onSeptember 19, 2018

The Fourth Way to Practice Data Science – Purpose Built Analytic Modules

Author: William Vorhies Summary:  Purpose Built Analytic Modules (PBAMs) such as those for Fraud Detection represent a fourth way to practice data science, a new […] Read More

Data Science Posted onSeptember 19, 2018

How many Mechanical Turk workers are there? A capture-recapture analysis

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Machine Learning Posted onSeptember 18, 2018

How to Evaluate Machine Learning Algorithms for Human Activity Recognition

Author: Jason Brownlee Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined […] Read More

Data Science Posted onSeptember 18, 2018

How to Put Active Learning to Work for Your Enterprise

Author: Matt Mayo Editor In this eBook from Figure Eight and AWS you’ll learn what active learning is and how it works, the areas in […] Read More

Data Science Posted onSeptember 18, 2018

A Machine Learning Cheatsheet

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Machine Learning Posted onSeptember 18, 2018

Machine-learning system tackles speech and object recognition, all at once

Author: Rob Matheson | MIT News Office MIT computer scientists have developed a system that learns to identify objects within an image, based on a […] Read More

Data Science Posted onSeptember 17, 2018

Monotonicity constraints in machine learning

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Data Science Posted onSeptember 17, 2018

Landing a 150k USD #datascientist job: Seven things you need to know

Author: ajit jaokar   On Linkedin, many Data Science enthusiasts who aspire to be Data Scientists follow me.   One person asked the question:   […] Read More

Machine Learning Posted onSeptember 16, 2018

How to Model Human Activity From Smartphone Data

Author: Jason Brownlee Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined […] Read More

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