Machine Learning with Scikit-Learn and Xgboost on Google Cloud Platform (Next Rewind '18)

Опубликовано 30 ноября 2018, 19:12

If you're doing Machine Learning in Python, you're probably familiar with open source frameworks like scikit-learn and XGBoost. But are you using Google Cloud Platform to speed up your training, scale your prediction and deepen your understanding of unstructured data? This talk will provide practical tips for developers and data scientists to make the most of GCP. We'll discuss the Machine Learning APIs, AutoML, Kubeflow, Google Compute Engine, and Cloud ML Engine. We'll show you what to consider when choosing between these services, and help you get started quickly.

Original talk by Laurent Candillier, David Cournapeau, and Steve Greenberg
Rewind by Yufeng Guo

Watch full session here → bit.ly/2r7tHTF
Watch more recaps here → bit.ly/NextRewind2018

Watch more Machine Learning & AI sessions here → bit.ly/2zGKfcg
Next ‘18 All Sessions playlist → bit.ly/Allsessions

Subscribe to the Google Cloud Platform channel! → bit.ly/GCloudPlatform event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - AI and Machine Learning - AutoML, Cloud - Containers - Google Kubernetes Engine (GKE), Cloud - Compute - Compute Engine; fullname: Laurent Candillier, David Cournapeau, Steve Greenberg;