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Engineering Machine Learning and Predictive Modeling - Eugene Zhulenev

This post is a Scala version of Haskell Type-Level Instant Insanity by Conrad Parker This post shows an implementation of Instant Insanity puzzle …

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Engineering Machine Learning and Predictive Modeling - Eugene Zhulenev | eugenezhulenev.com Reviews
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This post is a Scala version of Haskell Type-Level Instant Insanity by Conrad Parker This post shows an implementation of Instant Insanity puzzle …
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Engineering Machine Learning and Predictive Modeling - Eugene Zhulenev | eugenezhulenev.com Reviews

https://eugenezhulenev.com

This post is a Scala version of Haskell Type-Level Instant Insanity by Conrad Parker This post shows an implementation of Instant Insanity puzzle …

INTERNAL PAGES

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Building interactive audience analytics with Spark

http://eugenezhulenev.com/talks/interactive-audience-analytics

Name: inverse layout: true class: center, middle, inverse - - # Building interactive audience analytics with Spark. Template: inverse # Thank you. Http:/ collective.com](http:/ collective.com).

2

Stock Price Prediction With Big Data and Machine Learning - Eugene Zhulenev

http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning

Engineering Machine Learning and Audience Modeling at Collective. Stock Price Prediction With Big Data and Machine Learning. Apache Spark and Spark MLLib for building price movement prediction model from order log data. The code for this application app can be found on Github. This post is based on Modeling high-frequency limit order book dynamics with support vector machines. Paper Roughly speaking I’m implementing ideas introduced in this paper in scala with Spark. Sample data is available from NYSE FTP.

3

Akka Cluster for Value at Risk Calculation (Part 2/2) - Eugene Zhulenev

http://eugenezhulenev.com/blog/2014/05/01/akka-cluster-for-value-at-risk-calculation-2

Engineering Machine Learning and Audience Modeling at Collective. Akka Cluster for Value at Risk Calculation (Part 2/2). The code and sample app can be found on Github. Risk Management in finance is one of the most common case studies. For Grid Computing, and Value-at-Risk is most widely used risk measure. In this article I’m going to show how to. Value-at-Risk calculation to multiple nodes with latest Akka. Middleware. In Part 1 I’m describing the problem and. Go to Part 1. After joining the cluster it ...

4

Blog Archive - Eugene Zhulenev

http://eugenezhulenev.com/blog/archives

Engineering Machine Learning and Audience Modeling at Collective. Large Scale Deep Learning With TensorFlow on EC2 Spot Instances. Spark in Production: Lessons From Running Large Scale Machine Learning. Optimizing Spark Machine Learning for Small Data. Audience Modeling With Spark ML Pipelines. Posted in audience modeling. Interactive Audience Analytics With Spark and HyperLogLog. Feature Engineering at Scale With Spark. Posted in machine learning. Stock Price Prediction With Big Data and Machine Learning.

5

Running Spark Tests in Standalone Cluster - Eugene Zhulenev

http://eugenezhulenev.com/blog/2014/10/18/run-tests-in-standalone-spark-cluster

Engineering Machine Learning and Audience Modeling at Collective. Running Spark Tests in Standalone Cluster. Unit testing Spark Applications with standalone Apache Spark Cluster. Albeit approach described in this post works and totally valid, now I would suggest to take a look on packaging all tests in a fat jar together with. Or any other test library of your choice) and using. Command to run it. The code for this application app can be found on Github. Plugin, and it’s used by Spark itself. Messages (o...

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ezhulenev (Eugene Zhulenev) · GitHub

https://github.com/ezhulenev

I write code to solve large scale data analysis an machine learning problems. Addicted to functional programming. Working at @collectivemedia. Nov 5, 2011. Haskell implementation of HyperLogLog and MinHash for efficient cardinality and intersection estimation. ECS Scheduler for Running Massive Parallel Computations. Modeling high-frequency limit order book dynamics with support vector machines. Spark Extension : ML transformers, SQL aggregations, etc that are missing in Apache Spark. Aug 19 Aug 21.

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Building Large Scale Systems at Google. Type-Level Instant Insanity in Scala. This post is a Scala version of Haskell Type-Level Instant Insanity by Conrad Parker. This post shows an implementation of Instant Insanity puzzle game at compile time, using powerful Scala type system. This post is based on amazing article by Conrad Parker in the Monad Reader Issue 8. Classic solution in scala can be found here. This solution stacks the cubes one at a time, trying each possible orientation of each cube. Neural...

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