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machine-master.blogspot.com

Machine Master

R, machine learning, tools, graphics and fun!

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Machine Master | machine-master.blogspot.com Reviews
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R, machine learning, tools, graphics and fun!
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Machine Master | machine-master.blogspot.com Reviews

https://machine-master.blogspot.com

R, machine learning, tools, graphics and fun!

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1

Machine Master: Trees with the rpart package

http://machine-master.blogspot.com/2012/11/trees-with-rpart-package.html

R, machine learning, tools, graphics and fun! Tuesday, November 13, 2012. Trees with the rpart package. Interpretation looks like: “If (x1 4 ) and (x2 0.5 ) than (y = 12 )." This is much easier to explain to a non-statistician than a linear model. Therefore it is a powerful tool not only for prediction, but also to explain the relation of your response (Y ) and your covariables (X ) in an easy understandable way. To avoid too large trees, there are two possible methods:. How can I use those trees? Using ...

2

Machine Master: February 2014

http://machine-master.blogspot.com/2014_02_01_archive.html

R, machine learning, tools, graphics and fun! Thursday, February 6, 2014. Are awesome. They do not overfit, they are easy to tune, they tell you about important variables, they can be used for classification and regression, they are implemented in many programming languages and they are faster than their competitors (neural nets, boosting, support vector machines, .). Let us take a moment to appreciate them:. Is my shepherd; I shall not want. He makes me watch the mean squared error decrease rapidly.

3

Machine Master: July 2012

http://machine-master.blogspot.com/2012_07_01_archive.html

R, machine learning, tools, graphics and fun! Monday, July 23, 2012. Music Data Hackathon 2012 - Beginner's view. When I first heard of the existence of Hackathons (receive a data set, predict the response as good as possible, win money. All within 24 hours), I had two thoughts:. 1 Wow, that sounds greats. Like a huge game for intelligent people. 2 My skills are not good enough to participate. And decided to take part. The cool thing about it was, that it was hosted by kaggle. But at least it performed b...

4

Machine Master: November 2012

http://machine-master.blogspot.com/2012_11_01_archive.html

R, machine learning, tools, graphics and fun! Tuesday, November 13, 2012. Trees with the rpart package. Interpretation looks like: “If (x1 4 ) and (x2 0.5 ) than (y = 12 )." This is much easier to explain to a non-statistician than a linear model. Therefore it is a powerful tool not only for prediction, but also to explain the relation of your response (Y ) and your covariables (X ) in an easy understandable way. To avoid too large trees, there are two possible methods:. How can I use those trees? Using ...

5

Machine Master: August 2012

http://machine-master.blogspot.com/2012_08_01_archive.html

R, machine learning, tools, graphics and fun! Friday, August 31, 2012. PCA or Polluting your Clever Analysis. When I learned about principal component analysis (PCA), I thought it would be really useful in big data analysis, but that's not true if you want to do prediction. I tried PCA in my first competition at kaggle, but it delivered bad results. This post illustrates how PCA can pollute good predictors. Yes it can be that bad …. The basic idea behind PCA is pretty compelling:. At the end of the proce...

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Machine Master

R, machine learning, tools, graphics and fun! Saturday, May 28, 2016. My first deep learning steps with Google and Udacity. I did my first steps in deep learning by taking the deep learning course at Udacity. Deep learning is a hot topic. Deep neural networks can classify images, describe scenes, translate text and do so much more. It's great that Google and Udacity offer this course which helped me getting started with learning about deep learning. Image originally shows me hiking in Switzerland. In the...

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ZONG BIN-中古設備買取網 www.machine-match.com

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