1912 search results for "time series"

Your Life in Weeks

May 29, 2014
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Your Life in Weeks

This week, I discovered a picture on http://waitbutwhy.com/, which represent a (so-called) typical human life, in weeks, I found that interesting. But the first problem is that I don’t understand the limit, below: 90 years, that’s not the average life length. That’s not what you should expect to live when you get born. The second problem is that it cannot be...

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Trend Vigor Part II–the Delta parameter, Ehlers entries and exits, and (vaguely) intelligent portfolio management.

May 29, 2014
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Trend Vigor Part II–the Delta parameter, Ehlers entries and exits, and (vaguely) intelligent portfolio management.

The last post gave a cursory overview of implementing a basic quantstrat strategy, and an introduction to Dr. Ehlers’s Trend … Continue reading →

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A Sequence of 9 Courses on Data Science Starts on Coursera on 2 June and 7 July 2014

May 26, 2014
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A Sequence of 9 Courses on Data Science Starts on Coursera on 2 June and 7 July 2014

A sequence of 9 courses on Data Science will start on Coursera on 2 June and 7 July 2014, to be lectured by(Associate/Assistant) Professors of Johns Hopkins University. The courses are designed for students to learn to become Data Scientists … Continue reading →

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R beats Python! R beats Julia! Anyone else wanna challenge R?

May 21, 2014
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R beats Python!  R beats Julia!  Anyone else wanna challenge R?

Before I left for China a few weeks ago, I said my next post would be on our Rth parallel R package. It’s not quite ready yet, so today I’ll post one of the topics I spoke on last night at the Berkeley R Language Beginners Study Group. Thanks to the group for inviting me,

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R beats Python! R beats Julia! Anyone else wanna challenge R?

May 21, 2014
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R beats Python!  R beats Julia!  Anyone else wanna challenge R?

Before I left for China a few weeks ago, I said my next post would be on our Rth parallel R package. It’s not quite ready yet, so today I’ll post one of the topics I spoke on last night at the Berkeley R Language Beginners Study Group. Thanks to the group for inviting me,

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The apply command 101

May 15, 2014
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The apply command 101

The goal of this blog entry is to introduce basic and essential information about the apply function. Even established R users get confused when considering this family of functions especially when observing how many of the them there are: apply, tapply, lapply, sapply, rapply, eapply, mapply. When I was new to R I was rarely

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Quick History: glm()

May 15, 2014
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by Joseph Rickert I recently wrote about some R resources that are available for generalized linear models (GLMs). Looking over the material, I was amazed by the amount of effort that is continuing to go into GLMs, both with with respect to new theoretical developments and also in response to practical problems such as the need to deal with...

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Sales Dashboard in R with qplot and ggplot2 – Part 3

May 15, 2014
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Sales Dashboard in R with qplot and ggplot2 – Part 3

In Part 3 of this series we will explore some more variations to our Sales Dashboard in R and introduce new ways of visualizing sales related data with qplot and ggplot2. If you haven't done it yet, it is recommended to read Part … Continue reading →

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rOpenHack report

May 13, 2014
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rOpenHack report

The rOpenSci project is a poster child for the fluid collaboration that has become increasingly common these days thanks to platforms like Twitter and GitHub. It has been really inspring to see open discussions take shape as rough ideas, which rapidly turn into prototype research software, all of which are now happening in the order of few days to...

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CFP: AusDM 2014 – the 12th Australasian Data Mining Conference

May 13, 2014
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CFP: AusDM 2014 – the 12th Australasian Data Mining Conference

********************************************************* 12th Australasian Data Mining Conference (AusDM 2014) Brisbane, Australia 27-28 November 2014 http://ausdm14.ausdm.org/ ********************************************************* Data Mining is the art and science of intelligent analysis of (usually big) data sets for meaningful insights. Data mining is actively applied across all … Continue reading →

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