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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Data Science Posted onDecember 28, 2018

Best of Acing AI – 2018 Year in Review

Author: Comments Go to Source

Machine Learning Posted onDecember 27, 2018

How to Develop a Weighted Average Ensemble for Deep Learning Neural Networks

Author: Jason Brownlee A modeling averaging ensemble combines the prediction from each model equally and often results in better performance on average than a given […] Read More

Data Science Posted onDecember 27, 2018

Why You Should be a Data Science Generalist – and How to Become One

Author: Vincent Granville The new advice today for data scientists is not to become a generalist. You can read recent articles on this topic, for […] Read More

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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