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Data Science Central Thursday Digest, July 18

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

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Added by Vincent Granville on July 18, 2019 at 9:00am — No Comments

Data Science Central Monday Digest, July 15

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…

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Added by Vincent Granville on July 12, 2019 at 6:30am — No Comments

Data Science Central Thursday Digest, July 11

Featured selected articles and technical resources posted since Monday.

Technical Resources

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Added by Vincent Granville on July 10, 2019 at 9:30am — No Comments

Data Science Central Monday Digest, July 8

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…

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Added by Vincent Granville on July 5, 2019 at 7:00am — No Comments

Data Science Central Thursday Digest, July 4

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

Technical resources 

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Added by Vincent Granville on July 3, 2019 at 7:30pm — No Comments

Data Science Central Monday Digest, July 1

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…

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Added by Vincent Granville on June 29, 2019 at 3:30pm — No Comments

Online Encyclopedia of Statistical Science (Free)

This online book is intended for beginners, college students and professionals confronted with statistical analyses. It is also a refresher for professional statisticians. The book covers over 600 concepts, chosen out of more than 1,500 for their popularity. Entries are listed in alphabetical order, and broken down into 18 parts. In addition to numerous illustrations, we have added 100 topics not covered in our online series Statistical Concepts Explained in Simple English. We also…

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Added by Vincent Granville on June 28, 2019 at 8:00am — 2 Comments

Data Science Central Thursday Digest, June 27

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

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Added by Vincent Granville on June 27, 2019 at 7:30am — No Comments

28 Statistical Concepts Explained in Simple English - Part 18

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

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Added by Vincent Granville on June 27, 2019 at 7:00am — No Comments

39 Statistical Concepts Explained in Simple English - Part 17

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

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Added by Vincent Granville on June 27, 2019 at 7:00am — No Comments

Data Science Central Monday Digest, June 24

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…

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Added by Vincent Granville on June 23, 2019 at 6:00pm — No Comments

Free Book: Statistics -- New Foundations, Toolbox, and Machine Learning Recipes

This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data scientists, biologists, and quants, ranging from beginners to executives. In about 300 pages and 28 chapters it covers many new topics, offering a fresh perspective on the subject, including rules of thumb and recipes that are easy to automate or integrate in black-box systems, as well as new…

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Added by Vincent Granville on June 23, 2019 at 1:00pm — No Comments

Data Science Central Thursday Digest, June 20

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

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Added by Vincent Granville on June 20, 2019 at 11:30am — No Comments

Data Science Central Monday Digest, June 17

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.  

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Added by Vincent Granville on June 15, 2019 at 2:00pm — No Comments

Data Science Central Thursday News, June 13

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

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Added by Vincent Granville on June 13, 2019 at 11:30am — No Comments

Simplified Logistic Regression

Logistic regression is typically used when the response Y is a probability or a binary value (0 or 1). For instance, the chance for an email message to be spam, based on a number of features such as suspicious keywords or IP address.  In matrix notation, the model can be written as

where X is the observations matrix,…

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Added by Vincent Granville on June 12, 2019 at 9:00am — No Comments

29 Statistical Concepts Explained in Simple English - Part 16

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

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Added by Vincent Granville on June 11, 2019 at 3:30pm — No Comments

30 Statistical Concepts Explained in Simple English - Part 15

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

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Added by Vincent Granville on June 11, 2019 at 3:00pm — No Comments

33 Statistical Concepts Explained in Simple English - Part 14

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

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Added by Vincent Granville on June 11, 2019 at 3:00pm — No Comments

How to Lie with P-values

P-values are used in statistics and scientific publications, much less so in machine learning applications where re-sampling techniques are favored and easy to implement today thanks to modern computing power. In some sense, p-values are a relic from old times, when computing power was limited and mathematical / theoretical formulas were favored and easier to deal with than lengthy computations.

Recently, p-values have been criticized and even banned by some…

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Added by Vincent Granville on June 11, 2019 at 7:30am — No Comments

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