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Category: Data Science

Data Science news

Data Science Posted onSeptember 24, 2018

Working with Data Feeds

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Data Science Posted onSeptember 24, 2018

Weekly Digest, September 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

Data Science Posted onSeptember 23, 2018

Cartoon: Where AI achieves excellence

Author: Gregory Piatetsky We examine what can happen when lawyers are replaced with Machine Learning. Go to Source

Data Science Posted onSeptember 23, 2018

Free Book: Process Improvement Using Data

Author: Capri Granville This book, initially written for chemical engineers, is actually very interesting for data scientists and machine learning engineers alike. For more free […] Read More

Data Science Posted onSeptember 22, 2018

Crunch Data Engineering and Analytics Conference

Author: Gregory PS Editor The biggest (and anecdotally best) data engineering and analytics conference in the CEE region, is back! Practical Data Engineering and Data […] Read More

Data Science Posted onSeptember 22, 2018

Where do data scientists come from? Indeed.com research

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Data Science Posted onSeptember 22, 2018

Statistical Significance and p-Values Take Another Blow

Author: Vincent Granville I read an article this morning, about a top Cornell food researcher having 13 studies retracted, see here. It prompted me to write […] Read More

Data Science Posted onSeptember 21, 2018

Rhea: Efficient environment variables management and typing for python

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Data Science Posted onSeptember 21, 2018

Machine Learning: How to Build a Model From Scratch

Author: Matt Mayo Editor Register now for upcoming webinar, Building a Machine Learning Fraud Model with Momentum Travel, on Sep 27 @ 10 AM PT. […] Read More

Data Science Posted onSeptember 21, 2018

An overview of feature selection strategies

Author: Burak Himmetoglu Introduction Feature selection and engineering are the most important factors which affect the success of predictive modeling. This remains true even today […] Read More

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