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Category: Data Science

Data Science news

Data Science Posted onJanuary 3, 2019

Ensemble Learning: 5 Main Approaches

Author: Dan Clark We outline the most popular Ensemble methods including bagging, boosting, stacking, and more. Go to Source

Data Science Posted onJanuary 1, 2019

Good Feature Building Techniques and Tricks for Kaggle

Author: Dan Clark A selection of top tips to obtain great results on Kaggle leaderboards, including useful code examples showing how best to use Latitude […] Read More

Data Science Posted onJanuary 1, 2019

Tutorial on Variational Auto Encoder in Pytorch 1.0

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Data Science Posted onJanuary 1, 2019

5 Predictions about Data Science, Machine Learning, and AI for 2019

Author: William Vorhies Summary:  Here are our 5 predictions for data science, machine learning, and AI for 2019.  We also take a look back at […] Read More

Data Science Posted onDecember 31, 2018

Updating NLP/NLU correlation matrix datasets

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Data Science Posted onDecember 31, 2018

Weekly Digest, December 31

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

Data Science Posted onDecember 30, 2018

Machine Learning Algorithms: 4 Types You Should Know

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Data Science Posted onDecember 29, 2018

Comparison of the Top Speech Processing APIs

Author: Matt Mayo Editor There are two main tasks in speech processing. First one is to transform speech to text. The second is to convert […] Read More

Data Science Posted onDecember 29, 2018

Announcement: Winner of the Data Science Central Competition

Author: Vincent Granville Back in 2017, we posted a problem related to stochastic processes and controlled random walks, offering a $2,000 award for a sound […] Read More

Data Science Posted onDecember 28, 2018

World’s Biggest Deep Learning Summit 3 weeks away

Author: Matt Mayo Editor RE•WORK will be running a New Year’s discount next week, but are offering exclusive early access to KDnuggets subscribers – save […] Read More

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