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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Data Science Posted onDecember 26, 2018

Deep learning in Satellite imagery

Author: Dan Clark This article outlines possible sources of satellite imagery, what its properties are and how this data can be utilised using R. Go […] Read More

Machine Learning Posted onDecember 26, 2018

10 Ways Machine Learning Is Revolutionizing Sales – Forbes

Author: 10 Ways Machine Learning Is Revolutionizing Sales  Forbes 62% of highest performing salespeople predict guided selling adoption will accelerate based on its ability rank potential […] Read More

Machine Learning Posted onDecember 25, 2018

How to Reduce Variance in the Final Deep Learning Model With a Horizontal Voting Ensemble

Author: Jason Brownlee Predictive modeling problems where the training dataset is small relative to the number of unlabeled examples are challenging. Neural networks can perform […] Read More

Data Science Posted onDecember 25, 2018

Interspeech 2018: Highlights for Data Scientists

Author: Dan Clark Key highlights from the Interspeech conference, with topics covering end-to-end models for automatic speech recognition, information theory approach to deep learning, speech […] Read More

Data Science Posted onDecember 25, 2018

ON customer lifetime value in ecommerce

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Machine Learning Posted onDecember 25, 2018

[D] What is the best ML paper you read in 2018 and why?

Author: /u/omniscientclown Enjoyed this thread last year, so I am making a one for this year. submitted by /u/omniscientclown [link] [comments] Go to Source

Data Science Posted onDecember 24, 2018

The most practical causal inference book I’ve read (is still a draft)

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Data Science Posted onDecember 24, 2018

Weekly Digest, December 24

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Machine Learning Posted onDecember 23, 2018

How to Create a Random-Split, Cross-Validation, and Bagging Ensemble for Deep Learning in Keras

Author: Jason Brownlee Ensemble learning are methods that combine the predictions from multiple models. It is important in ensemble learning that the models that comprise […] Read More

Machine Learning Posted onDecember 23, 2018

Score more than 50 hours of training in machine learning for less than $40 – Mashable

Author: Score more than 50 hours of training in machine learning for less than $40  Mashable Machine Learning involves computer systems that utilize algorithms to automatically […] Read More

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