Schlagwort: data science
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Collaborative Data Science: About Storing, Reusing, Composing and Deploying Machine Learning Models
Why is this important? Machine Learning has re-emerged in recent years as new Big Data platforms provide means to use them with more data, make them more complex as well as allowing combining several models to make an even more intelligent predictive/prescriptive analysis. This requires storing as well as exchaning machine learning models to enable…
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Automated Machine Learning (AutoML) and Big Data Platforms
Although machine learning exists already since decades, the typical data scientist – as you would call it today – would still have to go through a manual labor-intensive process of extracting the data, cleaning, feature extraction, regularization, training, finding the right model, testing, selecting and deploying it. Furthermore, for most machine learning scenarios you do…