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| 🔗 From the web |
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| How do you use Feature Store in the MLOps process on Vertex AI? |
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One of the questions @ MLOps onGoogle Cloud CloudAir webinar was "How do you use Feature Store in the MLOps process on Vertex AI?"
According to a whitepaper, these are the steps in the MLOps process that may involve a Feature store:- Model experimentation, both feature engineering and model training
- Continuous training
- Online prediction
In this article, Ivan Nardini will discuss in detail how a feature store contributes in each of those steps for predicting fraudulent transactions in a banking scenario. |
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| Build a chat server with Cloud Run ✅ |
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| This article explains how to build a chat server with Cloud Run using Python as the development language. |
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| Before an attacker discovers your cloud, be aware of the endpoints you have exposed to the internet. |
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| GCP helps with tracking/visibility with all lists of external addresses used on the project aligning with respective resources. See how you can leverage the available service and APIs for same to find the services the one which is exposed to the internet on the same. |
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| How GKE & Anthos Container-Aware Load balancing Increases Applications’ Reliability |
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| This blog focuses on the optimization of network connectivity performance to containers hosted on Google Kubernetes Engine (GKE). It dives deep into load balancing using a GKE cluster as the backend. |
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| Managing API management costs with Apigee Pay-as-you-go pricing |
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| APIs are a critical driver in transition to cloud and digitalization. However in the current economy, optimizing costs is of paramount importance. Use Apigee to minimize your API management costs and maximize value. |
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