Follow Datanami:

Tag: data drift

Staying On Top of ML Model and Data Drift

Jun 16, 2020 |

A lot of things can go wrong when developing machine learning models. You can use poor quality data, mistake correlation for causation, or overfit your model to the training data, just to name a few. Read more…

Streamsets Gets $35M for DataOps

Sep 11, 2018 |

StreamSets, which bills itself as the “air traffic control” tasked with preventing collisions from occurring with big data, today announced that it raised $35 million, which it will use to continue building its data operations, or DataOps, platform. Read more…

Keeping on Top of Data Drift

Feb 3, 2016 |

Data is often thought to be constant and immutable. A given piece of data is defined by 1s and 0s, and it never changes. But there’s an emerging school of thought in the big data world that sees data as constantly drifting and mutating in response to forces around it. Read more…

Finding a Single Version of Truth Within Big Data

Sep 2, 2015 |

There seems to be an implicit promise associated with the rise of big data analytics: By taking more measurements and calculations, that we can deliver deeper insights atop source data, and do so at quicker intervals than before. Read more…

Do NOT follow this link or you will be banned from the site!