blog.ethanrosenthal.com

Data Piques

Dec 05, 2016. Using Keras' Pretrained Neural Networks for Visual Similarity Recommendations. To close out our series on building recommendation models using Sketchfab data. I will venture far from the previous. Factorization-based methods and instead explore an unsupervised, deep learning-based model. You'll find that the implementation is fairly simple with remarkably promising results which is almost a smack in the . Nov 07, 2016. Learning to Rank Sketchfab Models with LightFM. Oct 19, 2016. I talked a...

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Dec 05, 2016. Using Keras' Pretrained Neural Networks for Visual Similarity Recommendations. To close out our series on building recommendation models using Sketchfab data. I will venture far from the previous. Factorization-based methods and instead explore an unsupervised, deep learning-based model. You'll find that the implementation is fairly simple with remarkably promising results which is almost a smack in the . Nov 07, 2016. Learning to Rank Sketchfab Models with LightFM. Oct 19, 2016. I talked a...

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Data Piques | blog.ethanrosenthal.com Reviews

https://blog.ethanrosenthal.com

Dec 05, 2016. Using Keras' Pretrained Neural Networks for Visual Similarity Recommendations. To close out our series on building recommendation models using Sketchfab data. I will venture far from the previous. Factorization-based methods and instead explore an unsupervised, deep learning-based model. You'll find that the implementation is fairly simple with remarkably promising results which is almost a smack in the . Nov 07, 2016. Learning to Rank Sketchfab Models with LightFM. Oct 19, 2016. I talked a...

INTERNAL PAGES

blog.ethanrosenthal.com

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Data Piques | About

http://blog.ethanrosenthal.com/pages/about.html

My name is Ethan Rosenthal, and I am a data scientist at Dia&Co. In NYC. Previously, I was a data scientist at Birchbox. And I also got a PhD in physics at Columbia University. This blog serves as a public record of anything data-related that. My interest ( hence the title of the blog. For more information about my academic research, check out my website. I'm always happy to hear about speaking opportunities, so feel free to reach out to me on email at. Gmailcom (where you replace these with my real name).

2

Data Piques | Explicit Matrix Factorization: ALS, SGD, and All That Jazz

http://blog.ethanrosenthal.com/2016/01/09/explicit-matrix-factorization-sgd-als

Jan 09, 2016. Explicit Matrix Factorization: ALS, SGD, and All That Jazz. In my last post. I described user- and item-based collaborative filtering which are some of the simplest recommendation algorithms. For someone who is used to conventional machine learning classification and regression algorithms, collaborative filtering may have felt a bit. To bring some technical rigor to recommender systems, I would like to talk about matrix factorization where we do, in fact,. Initial assumptions ¶. If we multi...

3

Data Piques | Yet Another PhD to Data Science Post (Part II)

http://blog.ethanrosenthal.com/2015/09/29/insight-to-interviews

Sep 29, 2015. Yet Another PhD to Data Science Post (Part II). Welcome to Part II of my journey from academic to industry data scientist. In my previous post. I wrote of my preparation leading up to the application to Insight Data Science. I will now talk about the Insight application process, the actual program, and demoing my project at companies. I will save studying for interviews and the actual interview process for the final post. It should also be noted that your communication skills are likely bei...

4

Data Piques | Using Keras' Pretrained Neural Networks for Visual Similarity Recommendations

http://blog.ethanrosenthal.com/2016/12/05/recasketch-keras

Dec 05, 2016. Using Keras' Pretrained Neural Networks for Visual Similarity Recommendations. To close out our series on building recommendation models using Sketchfab data. I will venture far from the previous. Factorization-based methods and instead explore an unsupervised, deep learning-based model. You'll find that the implementation is fairly simple with remarkably promising results which is almost a smack in the face to all of that effort put in earlier. Models as our input and the. Staying on-trend...

5

Data Piques | Intro to Implicit Matrix Factorization: Classic ALS with Sketchfab Models

http://blog.ethanrosenthal.com/2016/10/19/implicit-mf-part-1

Oct 19, 2016. Intro to Implicit Matrix Factorization: Classic ALS with Sketchfab Models. Last post I described how I collected implicit feedback data from the website Sketchfab. I then claimed I would write about how to actually build a recommendation system with this data. Well, here we are! I think the best place to start when looking into implicit feedback recommenders is with the model outlined in the classic paper " Collaborative Filtering for Implicit Feedback Datasets. C {ui} = 1 alpha d {ui}$.

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http://ethanrosenthal.com/Engineering.html

A large part of my research at Columbia has consisted of designing and building scanning tunneling microscopes. Click the images below for some details on the engineering aspects of this work. Custom Low Temperature Microscope:. The process of building the device involved designing parts and assemblies in SolidWorks, machining titanium on a mill and lathe, gluing and soldering piezoelectric actuators, and building a high vacuum testing apparatus for low temperature performance analysis. Click the ima...

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ethan rosenthal

http://ethanrosenthal.com/About.html

I used to be a graduate student in Abhay Pasupathy's lab in the Department of Physics at Columbia University. I used scanning tunneling microscopy to visualize the spatial structure of electronic wavefunctions in various materials. Sometimes the results looked interesting, and occasionally I understood them. Now, I am a data scientist at Birchbox where I hawk beauty products. Click for CV (pdf). New York, NY. Columbia University, New York, NY. Columbia University, New York, NY. L Zhao, C. Guti&eacute...

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http://ethanrosenthal.com/Physics.html

My research at Columbia has consisted of both designing and building, as well as actually using, scanning tunneling microscopes to image various materials. Click the images below for details on some of these materials. Is a transition metal dichalcogenide that has a charge density wave (CDW) phase below T. 33 Kelvin (K) and superconducts below 7 K. Although these properties of NbSe. Serves as a clean test-bed to use modern, spectroscopic imaging techniques to better understand the CDW transition. Where s...

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Ethan Miller's blog. Random musings from Ethan Miller. Security musings – 17 January. January 17, 2011. There were several interesting developments in computer security over the past few days. New stuff on Facebook security and Stuxnet. Facebook is now allowing apps to access your home address and phone number. Suggested solution: remove them from your profile. I’ve never put anything that private on Facebook, and wouldn’t consider doing so. The New York Times. Has an interesting article on Stuxnet.

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blog.ethanrosenthal.com

Data Piques

Dec 05, 2016. Using Keras' Pretrained Neural Networks for Visual Similarity Recommendations. To close out our series on building recommendation models using Sketchfab data. I will venture far from the previous. Factorization-based methods and instead explore an unsupervised, deep learning-based model. You'll find that the implementation is fairly simple with remarkably promising results which is almost a smack in the . Nov 07, 2016. Learning to Rank Sketchfab Models with LightFM. Oct 19, 2016. I talked a...

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