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.
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Publisher: Google Cloud
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