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在 Google Cloud 控制台中运用您的技能

Richen Yadav

成为会员时间：2023

青铜联赛

4225 积分
生成式 AI 簡介 Earned Dec 14, 2023 EST
Build, Train and Deploy ML Models with Keras on Google Cloud Earned Aug 11, 2023 EDT
Use Machine Learning APIs on Google Cloud Earned Jul 25, 2023 EDT
Feature Engineering Earned Jul 17, 2023 EDT
How Google Does Machine Learning Earned Jul 12, 2023 EDT
Natural Language Processing on Google Cloud Earned Jul 5, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals Earned Jun 26, 2023 EDT

這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。

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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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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.

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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 explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.

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This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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