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Simple rules for building robust machine learning models
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Advices and strategies I learned from my first business attempt
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Predicting hyperparameters from meta-features in binary classification problems
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npm-miner: An Infrastructure for Measuring the Quality of the npm Registry
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How to Ace a Technical Interview
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Background Jobs in Node.js [[ RedisConf 2016 ]]
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Sentiment analysis of Travis CI builds
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Technical Debt - Simply Explained
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Store JSON in Cassandra the Hard Way
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How Keen IO uses Storm
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Striking Gold: Building software better, together
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Dropwizard
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Ember.js: The Architecture Advantage
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Architecting your Rails app for success! (EuRuKo 2013)
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Getting Fancy on Rubinius
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Reservoir computing: Adaptive online machine learning and neural networks
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