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Robert Alexandru Dobre

成为会员时间：2023

白银联赛

5685 积分
Introduction to AI and Machine Learning on Google Cloud - 简体中文徽章 Introduction to AI and Machine Learning on Google Cloud - 简体中文 Earned Sep 22, 2023 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud徽章 Build, Train and Deploy ML Models with Keras on Google Cloud Earned Sep 21, 2023 EDT
Launching into Machine Learning徽章 Launching into Machine Learning Earned Sep 12, 2023 EDT
How Google Does Machine Learning徽章 How Google Does Machine Learning Earned Sep 8, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals徽章 Google Cloud Big Data and Machine Learning Fundamentals Earned Aug 28, 2023 EDT
Generative AI Fundamentals - 简体中文徽章 Generative AI Fundamentals - 简体中文 Earned Aug 25, 2023 EDT
Introduction to Responsible AI - 简体中文徽章 Introduction to Responsible AI - 简体中文 Earned Aug 25, 2023 EDT
Introduction to Large Language Models - 简体中文徽章 Introduction to Large Language Models - 简体中文 Earned Aug 25, 2023 EDT
Introduction to Generative AI - 简体中文徽章 Introduction to Generative AI - 简体中文 Earned Aug 23, 2023 EDT

本课程介绍 Google Cloud 中的 AI 和机器学习 (ML) 服务，这些服务可构建预测式和生成式 AI 项目。本课程探讨从数据到 AI 的整个生命周期中可用的技术、产品和工具，包括 AI 基础、开发和解决方案。通过引人入胜的学习体验和实操练习，本课程可帮助数据科学家、AI 开发者和机器学习工程师提升技能和知识水平。

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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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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 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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完成 Introduction to Generative AI、Introduction to Large Language Models 和 Introduction to Responsible AI 三门课程，赢取技能徽章。通过最终测验，即表明您理解了生成式 AI 的基本概念。 技能徽章是由 Google Cloud 颁发的数字徽章，旨在认可您对 Google Cloud 产品与服务的了解程度。公开您的个人资料并将技能徽章添加到您的社交媒体个人资料中，以此来分享您获得的成就。

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这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。

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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。

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