Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Announcement

• Building…

This is our selection of featured articles and resources posted since Monday:

Announcement

• Migrating R Applications to the Cloud - Upcoming Webinar

Technical Contributions

• The…

This is an interesting data science conjecture, inspired by the well known six degrees of separation problem, stating that there is a link involving no more than 6 connections between any two people on Earth, say between you and anyone living (say) in North Korea.   

Here the link is between any two univariate data sets of the same…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.

• Find your…

The material discussed here is also of interest to machine learning, AI, big data, and data science practitioners, as much of the work is based on heavy data processing, algorithms, efficient coding, testing, and experimentation. Also, it's not just two new conjectures, but paths and suggestions to solve these problems. The last section contains a few new, original exercises, some with solutions, and may be useful to students, researchers, and instructors offering math and statistics classes…

Here is our selection of featured articles and technical resources posted since Monday:

Technical Resources

• Jobs, Unemployment and 45's Performance - Analysis done with Python
• Object Detection using Deep…

Probably the worst error is thinking there is a correlation when that correlation is purely artificial. Take a data set with 100,000 variables, say with 10 observations. Compute all the (99,999 * 100,000) / 2 cross-correlations. You are almost guaranteed to find one above 0.999. This is best illustrated in may article How to Lie with P-values (also discussing how to handle…

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, ouliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, and many more. To keep receiving these articles, …

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, and many more. To keep receiving these articles, …

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Featured Resources and Technical…

Here is our selection of featured articles, forum questions, and technical resources posted since Monday. Several great contributions were featured today. 

Resources

• 10 Machine Learning Methods that Every Data Scientist Should Know …

Continued fractions are usually considered as a beautiful, curious mathematical topic, but with applications mostly theoretical and limited to math and number theory. Here we show how it can be used in applied business and economics contexts, leveraging the mathematical theory developed for continued fraction, to model and explain natural phenomena. 

The interest in this project started when analyzing sequences such as x(n) = { nq } = nq -…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Announcements…

I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and b, an integer > 1. These distributions were discovered by solving the following functional equation, corresponding to b = 2. 

Here f(x) is the density attached to that…

Here is our selection of featured articles and technical resources posted since Monday:

Resources, Forum Questions:

• Three-way data splits for model selection and performance estimation 
• Julia vs R: Freeing the…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link. 

Announcement…

Here is our selection of featured articles and technical contributions posted since Monday:

Technical Resources and Forum Questions

• Apply recommender system using Spark SVD and Amazon SageMaker 
• Different kinds of loops…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Announcement

• Healthcare…

Here is our selection of featured articles and technical resources posted since Monday:

Announcements

• Upcoming DSC Webinar, Aug 25: Data Preparation on AWS
• StrataData New York Conference
• The Entire Lifecycle of Your ML…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Announcement…