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Hypothesis testing with R

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This article is an excerpt taken from the book Learning Quantitative Finance with R written by Dr. Param Jeet and Prashant Vats. This book...

Implementing a simple Time Series Data Analysis in R

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This article is extracted from the book Machine Learning with R written by Brett Lantz. This book will methodically take you through stages to...

Why R is perfect for Statistical Analysis

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This article is taken from Machine Learning with R  written by Brett Lantz. This book will help you learn specialized machine learning techniques for...

How to implement discrete convolution on a 2D dataset

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This article is an excerpt from the book by Rodolfo Bonnin titled Machine Learning for Developers. Surprisingly the question frequently asked by developers across the...

Using R to implement Kriging – A Spatial Interpolation technique for...

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The Kriging interpolation technique is being increasingly used in geostatistics these days. But how does Kriging work to create a prediction, after all? To start...

How to Integrate Keras and TensorFlow with R

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The following is an excerpt from the book Neural Networks with R, Chapter 7, Use Cases of Neural Networks - Advanced Topics, written by...

Is Python edging R out in the data science wars?

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When it comes to the ‘lingua franca’ of data science, there seems to be a face-off between R and Python. R has long been...

Training and Visualizing a neural network with R

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The development of a neural network is inspired by human brain activities. As such, this type of network is a computational model that mimics...