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How to learn data science: from data mining to machine learning

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Data science is a field that’s complex and diverse. If you’re trying to learn data science and become a data scientist it can be...

Top languages for Artificial Intelligence development

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Artificial Intelligence is one of the hottest technologies currently. From work colleagues to your boss, chances are that most (yourself included) wish to create...

Shiny 1.1.0 releasing soon

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Developers will now find it easier to build interactive web applications using R, with RStudio formally announcing that the release of Shiny 1.1.0 is...

Using R6 classes in R to retrieve live data for markets...

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In this tutorial, you will learn to create a simple requester to request external information from an API over the internet. You will also...

Cross-validation in R for predictive models

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In today’s tutorial, we will efficiently train our first predictive model, we will use Cross-validation in R as the basis of our modeling process. We...

Top 5 programming languages for crunching Big Data effectively

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One of the most important decisions that Big Data professionals have to make, especially the ones who are new to the scene or are...

Data Science News Daily Roundup – 27th March 2018

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Scala 2.12.5 releases, Reticulate package for interfacing R and Python, JSON Comes to CockroachDB, and more in today’s top stories around machine learning, deep...

R interface to Python via the Reticulate Package

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Announcing the Reticulate package, an R interface to Python. This package consists of comprehensive set of tools for interoperability between Python and R. With this...

How to use R to boost your Data Model

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The following book excerpt is taken from the title Statistics for Data Science, written by James D. Miller. This book is a comprehensive primer...

How to create a strong data science project portfolio that lands...

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Okay, you’re probably here because you’ve got just a few months to graduate and the projects section of your resume is blank. Or you’re...