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Category: Machine Learning

Latest Machine Learning News

Machine Learning Posted onNovember 1, 2018

LSTM Model Architecture for Rare Event Time Series Forecasting

Author: Jason Brownlee Time series forecasting with LSTMs directly has shown little success. This is surprising as neural networks are known to be able to […] Read More

Machine Learning Posted onOctober 31, 2018

Machines that learn language more like kids do

Author: Rob Matheson | MIT News Office Children learn language by observing their environment, listening to the people around them, and connecting the dots between […] Read More

Machine Learning Posted onOctober 30, 2018

Results From Comparing Classical and Machine Learning Methods for Time Series Forecasting

Author: Jason Brownlee Machine learning and deep learning methods are often reported to be the key solution to all predictive modeling problems. An important recent […] Read More

Machine Learning Posted onOctober 30, 2018

Model paves way for faster, more efficient translations of more languages

Author: Rob Matheson | MIT News Office MIT researchers have developed a novel “unsupervised” language translation model — meaning it runs without the need for human […] Read More

Machine Learning Posted onOctober 29, 2018

A tale of a whale song

Author: Like us, whales sing. But unlike us, their songs can travel hundreds of miles underwater. Those songs potentially help them find a partner, communicate […] Read More

Machine Learning Posted onOctober 28, 2018

How to Develop Deep Learning Models for Univariate Time Series Forecasting

Author: Jason Brownlee Deep learning neural networks are capable of automatically learning and extracting features from raw data. This feature of neural networks can be […] Read More

Machine Learning Posted onOctober 25, 2018

Q&A: Climate change, tough tech startups, and the future of energy intelligence

Author: Francesca McCaffrey | MIT Energy Initiative The MIT Energy Initiative (MITEI) 2018 annual research conference brought together energy researchers, policymakers, and industry members working […] Read More

Machine Learning Posted onOctober 25, 2018

How to Grid Search Naive Methods for Univariate Time Series Forecasting

Author: Jason Brownlee Simple forecasting methods include naively using the last observation as the prediction or an average of prior observations. It is important to […] Read More

Machine Learning Posted onOctober 25, 2018

Making creative tools more accessible for everyone

Author: Before I got into the accessibility field, I worked as an art therapist where I met people from all walks of life. No matter […] Read More

Machine Learning Posted onOctober 24, 2018

MIT Task Force on the Work of the Future announces advisory and research boards

Author: MIT Task Force on the Work of the Future Launched earlier this year, the MIT Task Force on the Work of the Future brings […] Read More

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