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This article is not about machine learning, but about a piece of computer science that often comes handy in data science practice. When writing code …

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FastML | fastml.com Reviews
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This article is not about machine learning, but about a piece of computer science that often comes handy in data science practice. When writing code …
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FastML | fastml.com Reviews

https://fastml.com

This article is not about machine learning, but about a piece of computer science that often comes handy in data science practice. When writing code …

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cubert.fastml.com cubert.fastml.com

Cubert

Cubert Interactive 3D visualization of datasets. Click the cube above to open an example visualization in a new window. It takes a few seconds to load. Cubert allows you to visualize your data in 3D, as described in Interactive in-browser 3D visualization of datasets. The method we use to reduce dimensionality is PCA. You can upload a file in CSV or Libsvm. Format (classification only, either binary or multiclass) and get a link to a visualization.

INTERNAL PAGES

fastml.com fastml.com
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Interactive in-browser 3D visualization of datasets - FastML

http://www.fastml.com/interactive-in-browser-3d-visualization-of-datasets

Machine learning made easy. Interactive in-browser 3D visualization of datasets. In this post we’ll be looking at 3D visualization of various datasets using. From Datacratic. The original demo. Didn’t impress us initially as much as it could, maybe because the data is synthetic - it shows a bunch of small spheres in rainbow colors. Real datasets look better. The basic view in data-projector. Is a rotating cube. You can drag it any which way with your mouse. Use the mouse wheel to embiggen the cube. You c...

2

Deep nets generating stuff - FastML

http://www.fastml.com/deep-nets-generating-stuff

Machine learning made easy. Deep nets generating stuff. The last few weeks have been a time of neural nets generating stuff. By deep nets we mean recurrent and convolutional neural networks, while the stuff is text, music, images and even video. It all started with Andrej Karpathy’s blog post on recurrent neural networks. Generating text, character by character. This is by no means a new idea - it goes back to 2011 paper by Sutskever, Martens and Hinton on. Generating Text with Recurrent Neural Networks.

3

Links - FastML

http://www.fastml.com/links

Machine learning made easy. A couple of pages we occasionaly read:. GitHub meets Arxiv, or machine learning papers with code. Heavy focus on deep learning. An Armenian blog on neural networks. Delip Rao recently started blogging, looks good so far. Https:/ jmetzen.github.io. Jan Hendrik Metzen has a blog on machine learning and python. We posit that you’re gonna like it. Http:/ www.inference.vc. Ferenc Huszar explains some deep learning papers he liked. Https:/ jakevdp.github.io/. Paul Mineiro, at. It an...

4

Classifying text with bag-of-words: a tutorial - FastML

http://www.fastml.com/classifying-text-with-bag-of-words-a-tutorial

Machine learning made easy. Classifying text with bag-of-words: a tutorial. There is a Kaggle training competition where you attempt to classify text, specifically movie reviews. No other data - this is a perfect opportunity to do some experiments with text classification. Kaggle has a tutorial. For this contest which takes you through the popular bag-of-words approach, and a take at. To motivate the need for validation let’s inspect a case of the Baidu team taking part in the ImageNet competition&...

5

Amazon aspires to automate access control - FastML

http://www.fastml.com/amazon-aspires-to-automate-access-control

Machine learning made easy. Amazon aspires to automate access control. This is about Amazon access control challenge. At Kaggle. Either we’re getting smarter, or the competition is easy. Or maybe both. You can beat the benchmark quite easily and with AUC of 0.875 you’d be comfortably in the top twenty percent at the moment. We scored fourth in our first attempt - the model was quick to develop and back then there were fewer competitors. Traditionally we use Vowpal Wabbit. Altogether, it’s approxima...

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LINKS TO THIS WEBSITE

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 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...

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 -...

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

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...

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

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.

kastnerkyle.github.io kastnerkyle.github.io

Archive | Garbage In Garbage Out

http://kastnerkyle.github.io/archive.html

Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Contents 2016 Kyle Kastner.

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Machine learning made easy. How to use the Python debugger. This article is not about machine learning, but about a piece of computer science that often comes handy in data science practice. When writing code, everybody gets errors. Sometimes it is difficult to debug them. Using a debugger may help, but can also be intimidating. This is a TLDR tutorial in using pdb in IPython, focused on looking at variables inside functions. Read on →. Preparing continuous features for neural networks with GaussRank.

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The FASTML Server - Server for computing Maximum Likelihood ancestral sequence reconstruction

Server for computing Maximum Likelihood. Type your multiple sequence alignment (MSA). Upload your multiple sequence alignment (MSA) file. Type your phylogenetic tree (Optional). Upload phylogenetic tree file. MtREV (for mitochondrial proteins). CpREV (for chloroplasts proteins). JC69 model (Jukes and Cantor, 1969). T92 model (Tamura 1992). HKY85 model (Hasegawa, Kishino and Yano 1985). Yang (for codon sequences). EmpiriCodon (for codon sequences). Please enter your email address (Optional).

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