1880 search results for "Tutorial"

Seeing the Forest and the Trees – a parallel machine learning example

April 1, 2015
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Seeing the Forest and the Trees – a parallel machine learning example

Parallelizing Random Forests in R with BatchJobs and OpenLava By: Gord Sissons and Feng Li In his series of blogs about machine learning, Trevor Stephens focuses on a survival model from the Titanic disaster and provides a tutorial explaining how decision trees tend to over-fit models yielding anomalous predictions. How do we build a better

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Fundamentals of R: Free course by General Assembly & DataCamp

March 31, 2015
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Fundamentals of R: Free course by General Assembly & DataCamp

Together with General Assembly, DataCamp created a free set of videos on the fundamentals of R. Discover it now! In a series of short videos, the team behind DataCamp teaches you about the fundamentals of R, an open-source statistical programming language. Use this course to understand the advantages and disadvantages of R, and discover at the same The post

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MCMskv, Lenzerheide, Jan. 5-7, 2016

March 30, 2015
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MCMskv, Lenzerheide, Jan. 5-7, 2016

Following the highly successful MCMski IV, in Chamonix last year, the BayesComp section of ISBA has decided in favour of a two-year period, which means the great item of news that next year we will meet again for MCMski V , this time on the snowy slopes

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Need for Processing Speed: data.table

March 30, 2015
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Need for Processing Speed: data.table

Monday 30 March 2015 - 15:05 The first time I discovered data.table it felt like magic. I was waiting on a process that was projected to take the better part of an afternoon. In the meantime, I followed the data.table tutorial, rewrote my code using the data.table structure, and fully executed...

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Need for Processing Speed: data.table

March 30, 2015
By
Need for Processing Speed: data.table

Monday 30 March 2015 - 15:05 The first time I discovered data.table it felt like magic. I was waiting on a process that was projected to take the better part of an afternoon. In the meantime, I followed the data.table tutorial, rewrote my code using the data.table structure, and fully executed...

Read more »

R Stats + Digital Analytics: 8 Blogs you should Follow

March 29, 2015
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R Stats + Digital Analytics: 8 Blogs you should Follow

Are you interested in using R for your digital analytics projects? Do you need to perform prediction modelling and visualizations on your digital data and Excel can´t just do the job as you wanted?Or, you simply have no idea how R could help you in your digital analytics problems and you would like to see some real working examples...

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Using closures as objects in R

March 27, 2015
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Using closures as objects in R

For more and more clients we have been using a nice coding pattern taught to us by Garrett Grolemund in his book Hands-On Programming with R: make a function that returns a list of functions. This turns out to be a classic functional programming techique: use closures to implement objects (terminology we will explain). It … Continue reading...

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Machine Learning in R for beginners

March 25, 2015
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Machine Learning in R for beginners

Introducing: Machine Learning in R Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. The post

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Bio7 2.0 for Windows 32 bit Release

March 24, 2015
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24.03.2015 Because of some requests of a Windows 32 bit version of Bio7 2.0 I uploaded a built to sourceforge. Release notes: Updated R to version 3.1.3 Updated ImageJ to version 1.49p Added some ImageJ dialog options (to stay on top, e.g., the ROI Manager) Updated Java to version 1.8.40 Updated the JavaFX embedded SceneBuilder

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broom: a package for tidying statistical models into data frames

March 19, 2015
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broom: a package for tidying statistical models into data frames

The concept of “tidy data”, as introduced by Hadley Wickham, offers a powerful framework for data manipulation, analysis, and visualization. Popular packages like dplyr, tidyr and ggplot2 take great advantage of this framework, as explored in several recent posts by others. But there’s an important step in a tidy data workflow that so...

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