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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/ai-algorithm-limitations
课程评论：没有评论
课程名称：人工智能算法模型与局限性 课程概述：我们生活在一个日益被算法主导的时代。随着机器学习模型开始基于庞大的数据集做出重要决策，我们需要意识到它们在现实世界中的局限性。无论是贷款决策还是交通重新规划，机器学习模型都需要准确反映我们共同的价值观。在本课程中，我们将探讨算法的兴起，从最基本的算法到完全自主的模型，讨论如何使其更加符合伦理标准。 课程大纲： 1. **入门：算法** 描述：欢迎参加课程！我们将介绍课程结构，并对算法的世界进行初步了解。 2. **人工智能与模型结果** 描述：本周我们将深入探讨预测建模，研究理论与实践中的核心区别。 3. **人工智能规则：训练与约束** 描述：本周我们将重点关注机器学习的准确性和训练指南，以追求更加准确和符合伦理的模型。 4. **伦理人工智能：因果关系** 描述：在最后一周，我们将提出一些关于预测智能未来发展的重大问题。我们将讨论人工智能的发展轨迹及其对社会的更广泛影响。
Name:Getting Started: Algorithms
Description:Welcome to the course! We're going to get started with an overview of the course structure as well as an introductory look at the world of algorithms
Name:AI and Model Outcomes
Description:This week, we are going to dive into predictive modeling the core differences in theory and practice
Name:Rules for AI: training and constraints
Description: This week we are going to focus on machine learning accuracy and training guidelines in the quest for more accurate and ethical models
Name:Ethical AI: Cause and Effect
Description: In our final week, we're going to ask some big questions about where all this predictive intelligence leads. We will discuss the trajectory of artificial intelligence and the broader implications for society as well
We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.
