490 search results for "evaluation"

GloVe vs word2vec revisited.

November 30, 2015
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GloVe vs word2vec revisited.

Today I will start to publish series of posts about experiments on english wikipedia. As I said before, text2vec is inspired by gensim - well designed and quite efficient python library for topic modeling and related NLP tasks. Also I found very useful Radim’s posts, where he tried to evaluate some algorithms on english wikipedia dump....

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Automate the Boring Stuff: GGPlot2

November 26, 2015
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Automate the Boring Stuff: GGPlot2

The majority of my interaction with the ggplot2 package involves the interactive execution of code to visualize data within the context of exploratory data analysis. This is often a manual process and quite laborious. I recently sought to improve these tasks by creating a series of user defined functions that contained my most commonly used

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statistically significant trends with multiple years of complex survey data

November 22, 2015
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statistically significant trends with multiple years of complex survey data

guest post by my friend thomas yokota, an oahu-based epidemiologist. palmero professor vito muggeo wrote the joinpoint analysis section of the code below to demonstrate that the segmented package eliminates the need for external (registration-only, windows-only) software. survey package creator...

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Deep Learning with MXNetR

November 17, 2015
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Deep Learning with MXNetR

Deep learning has been an active field of research for some years, there are breakthroughs in image and language understanding etc. However, there has not yet been a good deep learning package in R that offers state-of-art deep learning models and the real GPU support to do fast training on these models. In this post, we introduce MXNetR, an R...

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More on stepped wedge

November 7, 2015
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A couple of months back I talked at the launch of the Trial series on the Stepped Wedge Designed, on which I have worked together with a number of colleagues at UCL and LSHTM. Jennifer, who's one of the authors of the series and is doing her ...

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Clickable list of the best animations since 1900, gathered the geek way.

October 22, 2015
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Clickable list of the best animations since 1900, gathered the geek way.

In the midst of our random data exploration, Laure and I started playing around with Hadley’s movies dataset and noticed that there were a lot of old cartoon animations… I mean REALLY old. So we got excited and wondered if we could find Youtube links for all these old animations. Indeed we could! …

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Data Mining with R: Generate knowledge from data with the eoda R-Academy

October 21, 2015
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The course “Data Mining with R”, which takes place from 9th to 10th November 2015 in Kassel, Germany, teaches the most important methods to expose correlations in data and inherent patterns. The wide set of methods can be used for almost every application area. From customer segmentation to timely recognition of machines, users gain knowledge

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Data Mining Standard Process across Organizations

October 18, 2015
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Data Mining Standard Process across Organizations

Recently I have come across a term, CRISP-DM - a data mining standard. Though this process is not a new one but I felt every analyst should know about commonly used Industry wide process. In this post I will explain about different phases involved in creating a data mining solution. CRISP-DM, an acronym for Cross Industry Standard...

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Review: Data Mining with Rattle and R

October 7, 2015
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Review: Data Mining with Rattle and R

I read Data Mining with Rattle and R by Graham Williams over a year ago. It's not a new book and I've just been tardy in writing up a review. That's not to say that I have not used the book in the interim: it's been on my desk at work ever since and I've The post

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Recruiting Analysts for dynamic cutting edge public sector team

October 3, 2015
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Recruiting Analysts for dynamic cutting edge public sector team

The jobs Within the New Zealand Ministry of Business, Innovation and Employment, the Sector Trends team has recently secured resourcing for additional analysts on a range of statistical programmes. That’s the team that I usually manage, although for the next few months I’m doing a stint on a similar team, different topics. The formal details and position descriptions...

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