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Shashank Reddy

Member since 2023

Diamond League

15970 points
Machine Learning Operations (MLOps): Getting Started Earned Sep 16, 2024 EDT
[DEPRECATED] Feature Engineering Earned Jul 27, 2024 EDT
[Depricated] Build, Train and Deploy ML Models with Keras on Google Cloud Earned Jul 24, 2024 EDT
Launching into Machine Learning Earned Jul 17, 2024 EDT
Google Cloud 的 AI 和機器學習服務簡介 Earned Jul 14, 2024 EDT
Vector Search 和嵌入 Earned Jul 2, 2024 EDT

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.

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This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

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This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

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本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能,著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具,並透過互動式練習,協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。

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這堂課程會介紹 AI 搜尋技術、工具和應用程式。主題涵蓋使用向量嵌入執行語意搜尋;結合語意和關鍵字做法的混合型搜尋機制;以及運用檢索增強生成 (RAG) 技術建構有基準的 AI 代理,盡可能減少 AI 幻覺。您可以實際使用 Vertex AI Vector Search,打造智慧型搜尋引擎。

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