Browsed by
Author: Mikhail Korobov

Do Androids Dream of Electric Sheep?

It got very easy to do Machine Learning: you install a ML library like scikit-learn or xgboost, choose an estimator, feed it some training data, and get a model which can be used for predictions.

Optimizing Memory Usage of Scikit-Learn Models Using Succinct Tries

We use the scikit-learn library for various machine-learning tasks at Scrapinghub. For example, for text classification we'd typically build a statistical model using sklearn's Pipeline, FeatureUnion, some classifier (e.g. LinearSVC) + feature extraction and preprocessing classes. The model is usually trained on a developers machine, then serialized (using pickle/joblib) and uploaded to a server...