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Daniel Ensminger

成为会员时间:2023

青铜联赛

1800 积分
How Google Does Machine Learning Earned Aug 24, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud Earned Aug 20, 2023 EDT
Intro to ML: Image Processing Earned Aug 18, 2023 EDT
機器學習簡介:語言處理 Earned Aug 18, 2023 EDT
在 Google Cloud 使用機器學習 API Earned Aug 18, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals Earned Aug 13, 2023 EDT

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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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

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大家都知道,機器學習是發展最快的科技領域之一, 而 Google Cloud Platform 在這方面功不可沒。 GCP 提供多種 API,凡是與機器學習相關的任務,幾乎都能處理。您將在本入門課程的 實驗室,實際演練機器學習技術 在語言處理方面的應用,學會如何從文中擷取實體資訊、 執行情緒和語法分析,並使用 Speech-to-Text API 轉錄語音。

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完成「在 Google Cloud 使用機器學習 API」課程,即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能: Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。

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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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