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Andrea Manero-Bastin's Blog – January 2019 Archive (5)

Cross-Validation: Concept and Example in R

This article was written by Sondos Atwi.

What is Cross-Validation?

In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model on the same dataset on which it was trained. This is a common mistake, especially that a separate…

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Added by Andrea Manero-Bastin on January 28, 2019 at 11:30pm — No Comments

Universal Method to Sort Complex Information Found

This article was written by Kevin Hartnett.

The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way.…

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Added by Andrea Manero-Bastin on January 15, 2019 at 9:00am — No Comments

The Math Required for Machine Learning

This article was written by Harsh Sikka. This version is a summary of the original article.



Start with  …

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Added by Andrea Manero-Bastin on January 9, 2019 at 7:30am — No Comments

The 10 Statistical Techniques Data Scientists Need to Master

This article was written by James Le. Here is a brief summary. Link to the full article is provided at the bottom. Some techniques are not mentioned in Le's article, for instance neural networks, K-NN, density estimation, time series models, survival analysis, Markov chains, Bayesian statistics, graph models, and spatial processes. However his article is a great read, with the 10 topics explained in details,…

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Added by Andrea Manero-Bastin on January 9, 2019 at 7:30am — No Comments

What is a Generative Adversarial Network?

This article was written by Hunter Heidenreich.

Looking into what a generative adversarial network is to understand how they work.

 

What’s…

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Added by Andrea Manero-Bastin on January 2, 2019 at 9:30am — No Comments

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