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Machine Learning Explained: Dimensionality Reduction

July 31, 2017
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Machine Learning Explained: Dimensionality Reduction

Dealing with a lot of dimensions can be painful for machine learning algorithms. High dimensionality will increase the computational complexity, increase the risk of overfitting (as your algorithm has more degrees of freedom) and the sparsity of the data will grow. Hence, dimensionality reduction will project the data in a space with less dimension to The post Machine Learning...

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Machine Learning Explained: supervised learning, unsupervised learning, and reinforcement learning

July 19, 2017
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Machine Learning Explained: supervised learning, unsupervised learning, and reinforcement learning

Machine learning is often split between three main types of learning: supervised learning, unsupervised learning, and reinforcement learning. Knowing the differences between these three types of learning is necessary for any data scientist. The big picture The type of learning is defined by the problem you want to solve and is intrinsic to the goal of The post Machine Learning...

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Twitter analysis using R (Semantic analysis of French elections)

July 17, 2017
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Last month the French elections viewed through Twitter: a semantic analysis post showed how the two contenders were perceived on Twitter during three key events of the campaign (Macron leaks, presidential debate and election day). The goal of the post is to show how to perform this twitter analysis using R. Collecting tweets in real time with The post Twitter analysis...

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The R Shiny packages you need for your web apps!

July 10, 2017
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The R Shiny packages you need for your web apps!

Shiny is an R Package to deploy web apps using an R backend. Let’s face it, Shiny is awesome! It brings all the power of R to a simple web app with interactivity, user inputs, and interactive visualizations. If you don’t know Shiny yet, you can access a selection of apps on Show me shiny. As The post The R...

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A pick of the best R packages for interactive plot and visualisation (2/2)

July 6, 2017
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In the first part of A pick of the best R packages for interactive plot and visualization, we saw the best packages to do interactive plot in R. Now, let’s see what are the best packages for interactive visualizations. While plots tend are representing ‘classic’ data. These plots have an x-axis a y-axis and one or two The post A pick...

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Machine Learning Explained: Regularization

July 4, 2017
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Machine Learning Explained: Regularization

Welcome to this new post of Machine Learning Explained.After dealing with overfitting, today we will study a way to correct overfitting with regularization. Regularization adds a penalty on the different parameters of the model to reduce the freedom of the model. Hence, the model will be less likely to fit the noise of the training data The post Machine Learning...

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Machine Learning Explained: Overfitting

June 29, 2017
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Machine Learning Explained: Overfitting

Welcome to this new post of Machine Learning Explained.After dealing with bagging, today, we will deal with overfitting. Overfitting is the devil of Machine Learning and Data Science and has to be avoided in all of your models. What is overfitting? A good model is able to learn the pattern from your training data and then The post Machine Learning...

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Machine Learning Explained: Bagging

June 28, 2017
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Machine Learning Explained: Bagging

Bagging is a powerful method to improve the performance of simple models and reduce overfitting of more complex models. The principle is very easy to understand, instead of fitting the model on one sample of the population, several models are fitted on different samples (with replacement) of the population. Then, these models are aggregated by The post Machine Learning...

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French elections viewed through Twitter: a semantic analysis

May 17, 2017
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French elections viewed through Twitter: a semantic analysis

The French presidential election has been over for a week with the win of Emmanuel Macron. During the weeks between the two rounds, Twitter has been really active on French election. In this post, we will see how the French campaign was perceived on Twitter through three events and using semantic analysis. MacronLeaks: En Marche The post French elections...

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