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Kevin Davenport | Machine Learning & Statistics Blog

Machine Learning and Statistics Blog. Sutton’s Temporal-Difference Learning. February 19, 2018. March 25, 2018. A critical aspect of research is the reproduction of previously published results. Yet most will find reproduction of research challenging since important parameters needed to reproduce results are often not stated in the papers. I’ve noticed nn the past 5 years there has been a sort of catharsis regarding the lack of reproducibility [1]. This isn’t an issue for wetlab science alone [4]. Tempor...

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Machine Learning and Statistics Blog. Sutton’s Temporal-Difference Learning. February 19, 2018. March 25, 2018. A critical aspect of research is the reproduction of previously published results. Yet most will find reproduction of research challenging since important parameters needed to reproduce results are often not stated in the papers. I’ve noticed nn the past 5 years there has been a sort of catharsis regarding the lack of reproducibility [1]. This isn’t an issue for wetlab science alone [4]. Tempor...
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Kevin Davenport | Machine Learning & Statistics Blog | kldavenport.com Reviews

https://kldavenport.com

Machine Learning and Statistics Blog. Sutton’s Temporal-Difference Learning. February 19, 2018. March 25, 2018. A critical aspect of research is the reproduction of previously published results. Yet most will find reproduction of research challenging since important parameters needed to reproduce results are often not stated in the papers. I’ve noticed nn the past 5 years there has been a sort of catharsis regarding the lack of reproducibility [1]. This isn’t an issue for wetlab science alone [4]. Tempor...

INTERNAL PAGES

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1

The Cost Function of K-Means – Kevin Davenport

http://kldavenport.com/the-cost-function-of-k-means

The Cost Function of K-Means. February 14, 2014. November 22, 2015. When exploring a novel dataset, I believe most analysts will run through the familiar steps of generating. The many clustering approaches available today belong to either non-parametric/hierarchical or parametric methods, with differentiation in the former being agglomerative (bottom-up) versus divisive (top-down) and reconstructive versus generative methods for the latter. To the closest cluster centroid. Leveraging the built-in joblib ...

2

Absolute Deviation Around the Median – Kevin Davenport

http://kldavenport.com/absolute-deviation-around-the-median

Absolute Deviation Around the Median. August 8, 2013. November 22, 2015. Median Absolute Deviation (MAD) or Absolute Deviation Around the Median as stated in the title, is a robust measure of central tendency. The interquartile range is also resistant to the influence of outliers, although the mean and median absolute deviation are better in that they can be converted into values that approximate the standard deviation. If you have ordered set [2, 6, 6, 12, 17, 25 ,32], the median. To use in our predeter...

3

Data imputation I – Kevin Davenport

http://kldavenport.com/quick-thoughts-on-dealing-with-unknown-values

June 12, 2013. November 22, 2015. I recently entered kaggle titanic learning competition. Common methods of dealing with unknown or missing values:. Removing observations with unknown values. Filling in unknowns with the most frequent values. Filling in unknown values by exploring correlations. Filling in Unknown values by exploring similarities between cases. Section). Simply disregarding data can also lead to estimates larger standard errors due to the reduced sample size. Randomforest does not handle ...

4

Dynamic Time-Series Modeling – Kevin Davenport

http://kldavenport.com/dynamic-time-series-modeling

May 22, 2014. March 24, 2016. In correlation modeling (Pearson, Spearman, or Kendall) we look at the co-movement between the changes in two arrays of data, in this case time-series arrays. A dynamic implementation would include a rolling-correlation that would return a series or array of new data whereas a static implementation would return a single value that represents the correlation “all at once”. This distinction will become clearer with the visualizations below. Categorized in: Python. May 2, 2016.

5

Pure Python Decision Trees – Kevin Davenport

http://kldavenport.com/pure-python-decision-trees

Pure Python Decision Trees. June 16, 2015. March 24, 2016. I recently dusted off one of my favorite books, Programming Collective Intelligence. By Toby Segaran (2007), and was quickly reminded how much I loved all the pure python explanations of optimization and modeling. It was never enough for me to read about and work out proofs on paper, I had to implement something abstract in code to truly learn it. I’ll be using some of this code as inpiration for an intro to decision trees with python. May 2, 2016.

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Yet Another Data Blog: In honor of Pi Day : Estimating the value of pi via Monte Carlo simulation

http://yet-another-data-blog.blogspot.com/2014/03/in-honor-of-pie-day-estimated-value-of.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Friday, March 14, 2014. In honor of Pi Day : Estimating the value of pi via Monte Carlo simulation. In honor of $ pi$ day, I'll run you through calculating the numerical value of $ pi$ using a method called Monte Carlo simulation. Lets work through the math. From the code sample above and my cli, we see that as we increase the ...

yet-another-data-blog.blogspot.com yet-another-data-blog.blogspot.com

Yet Another Data Blog: Week 4 : Zipfian Academy - Oh SQL, Oh SQL... MySQL and some NLP too

http://yet-another-data-blog.blogspot.com/2014/02/week-4-zipfian-academy.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Saturday, February 15, 2014. Week 4 : Zipfian Academy - Oh SQL, Oh SQL. MySQL and some NLP too. Highlights from the week :. Implementing things from first principles gives you a better understanding of how some of these algorithms work and what may be going on under the hood when they fail. February 13, 2015 at 11:28 AM. Questi...

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Yet Another Data Blog: Some more interesting links-4, Machine Intelligence, TDA, ipython notebooks

http://yet-another-data-blog.blogspot.com/2014/12/some-more-interesting-links-4.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Monday, December 22, 2014. Some more interesting links-4, Machine Intelligence, TDA, ipython notebooks. Most Topological Data Analysis tools are either stuck in academic research papers or Company intellectual property. DataRefiner. Might help to change that. Python for Exploratory Computing. Hosted in the cloud. Week 1 : Zipfi...

yet-another-data-blog.blogspot.com yet-another-data-blog.blogspot.com

Yet Another Data Blog: Year in Review

http://yet-another-data-blog.blogspot.com/2015/12/year-in-review.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Thursday, December 31, 2015. It's been quite a year. It appears we're moving closer to the Hardware Software AI singularity and all the stuff that comes with that. and it's kind of scary. Here again is Jeff Leek's Non-comprehensive list of awesome things other people did in 2015. Frameworks. Falcon 9. Week 2 : Zipfian Academy -...

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Yet Another Data Blog: Book Review : Elon Musk - Tesla, SpaceX and the Quest for a Fantastic future

http://yet-another-data-blog.blogspot.com/2015/07/book-review-elon-musk-tesla-spacex-and.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Sunday, July 19, 2015. Book Review : Elon Musk - Tesla, SpaceX and the Quest for a Fantastic future. Gives you a glimpse into the man and the machines and companies he has built and the trials you'll face as an enterprenuer. While reading you'll experience occasional bursts of laughter. This is quite an interesting read. On a r...

yet-another-data-blog.blogspot.com yet-another-data-blog.blogspot.com

Yet Another Data Blog: Choosing a Data Science Bootcamp program? - questions to ask, things to look for and look out for

http://yet-another-data-blog.blogspot.com/2015/05/choosing-data-science-bootcamp-program.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Friday, May 15, 2015. Choosing a Data Science Bootcamp program? Questions to ask, things to look for and look out for. The list below may not be encompassing as each prospective Data Science bootcamp student is unique in their own way and what they hope to get out of the experience. Without further ado. here we go. At most boot...

yet-another-data-blog.blogspot.com yet-another-data-blog.blogspot.com

Yet Another Data Blog: Zipfian Academy - All 12 weeks

http://yet-another-data-blog.blogspot.com/2014/04/zipfian-academy-all-12-weeks.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Friday, April 25, 2014. Zipfian Academy - All 12 weeks. Here you go. a week to week summary of my experience at Zipfian Academy. Week 1 : Zipfian Academy - Priming the Pump , some Unix shell, python, recommenders and data wrangling. Week 2 : Zipfian Academy - Are you Frequentist or Bayesian? June 12, 2014 at 10:57 PM. Was the e...

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Yet Another Data Blog: Some more interesting links-3, Quantified Self, Bandits

http://yet-another-data-blog.blogspot.com/2014/04/some-more-interesting-links-3.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Sunday, April 27, 2014. Some more interesting links-3, Quantified Self, Bandits. Extreme Quantified Self. This MIT professor. Around the technology he used for the analysis and then sold that company to Twitter for a fat wad of cash. This is his TED talk. You definitely want to utilize the resources at your local public library.

yet-another-data-blog.blogspot.com yet-another-data-blog.blogspot.com

Yet Another Data Blog: In honor of Pi Day : Estimating the value of pi via Buffon's Needle

http://yet-another-data-blog.blogspot.com/2015/03/in-honor-of-pi-day-estimating-value-of.html

Yet Another Data Blog. Thoughts on Collective Intelligence, Data Wrangling, Data Science, Predictive Modeling,Start-ups and a repository for ideas and things I hope not to forget. Saturday, March 14, 2015. In honor of Pi Day : Estimating the value of pi via Buffon's Needle. Last year we estimated the value of $ pi$ via Monte Carlo simulation. This year, we'll be revisiting the same exercise but using a different approach : Buffon's Needle. Let's work through the math:. Estimate pi using buffons needle.

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Kevin Davenport | Machine Learning & Statistics Blog

Machine Learning and Statistics Blog. Sutton’s Temporal-Difference Learning. February 19, 2018. March 25, 2018. A critical aspect of research is the reproduction of previously published results. Yet most will find reproduction of research challenging since important parameters needed to reproduce results are often not stated in the papers. I’ve noticed nn the past 5 years there has been a sort of catharsis regarding the lack of reproducibility [1]. This isn’t an issue for wetlab science alone [4]. Tempor...

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