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Category: Machine Learning

Latest Machine Learning News

Machine Learning Posted onSeptember 14, 2018

Connor Coley named a Chemical and Engineering News Talented Twelve

Author: Melanie Kaufman | Department of Chemical Engineering Connor Coley, currently pursuing his graduate degree in chemical engineering at MIT, has been selected as one […] Read More

Machine Learning Posted onSeptember 13, 2018

How to Develop a Reusable Framework to Spot-Check Algorithms in Python

Author: Jason Brownlee Spot-checking algorithms is a technique in applied machine learning designed to quickly and objectively provide a first set of results on a […] Read More

Machine Learning Posted onSeptember 11, 2018

A Gentle Introduction to a Standard Human Activity Recognition Problem

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

Machine Learning Posted onSeptember 11, 2018

Artificial intelligence system uses transparent, human-like reasoning to solve problems

Author: Kylie Foy | Lincoln Laboratory A child is presented with a picture of various shapes and is asked to find the big red circle. […] Read More

Machine Learning Posted onSeptember 9, 2018

Indoor Movement Time Series Classification with Machine Learning Algorithms

Author: Jason Brownlee Indoor movement prediction involves using wireless sensor strength data to predict the location and motion of subjects within a building. It is […] Read More

Machine Learning Posted onSeptember 6, 2018

How to Develop a Probabilistic Forecasting Model to Predict Air Pollution Days

Author: Jason Brownlee Air pollution is characterized by the concentration of ground ozone. From meteorological measurements, such as wind speed and temperature, it is possible […] Read More

Machine Learning Posted onSeptember 5, 2018

Taking machine thinking out of the black box

Author: Anne McGovern | Lincoln Laboratory Software applications provide people with many kinds of automated decisions, such as identifying what an individual’s credit risk is, […] Read More

Machine Learning Posted onSeptember 4, 2018

A Gentle Introduction to Probability Scoring Methods in Python

Author: Jason Brownlee How to Score Probability Predictions in Python and Develop an Intuition for Different Metrics. Predicting probabilities instead of class labels for a […] Read More

Machine Learning Posted onSeptember 3, 2018

How to Get Started with Deep Learning for Time Series Forecasting (7-Day Mini-Course)

Author: Jason Brownlee Deep Learning for Time Series Forecasting Crash Course. Bring Deep Learning methods to Your Time Series project in 7 Days. Time series […] Read More

Machine Learning Posted onSeptember 2, 2018

How and When to Use a Calibrated Classification Model with scikit-learn

Author: Jason Brownlee Instead of predicting class values directly for a classification problem, it can be convenient to predict the probability of an observation belonging […] Read More

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