AI Quality Workshop: How to Test and Debug ML Models

所在平台: Udemy

课程主页: https://www.udemy.com/course/ai-quality-workshop-how-to-test-and-debug-ml-models/

课程评论:没有评论

第一个写评论        关注课程

课程简介

课程名称:人工智能质量研讨会:如何测试和调试机器学习模型 课程概述: 该课程主要针对如何测试和调试机器学习模型进行深入讲解。目前课程正在重构,现为讲座形式,已移除了免费应用、实操练习和测验,预计在2024年秋冬季节重新上线完整版本。如果希望在更新后参与完整课程,请留意后续信息。 在这门课程中,学员将提升测试和调试机器学习模型的能力,成为人工智能时代的强大贡献者。课程由曾在卡内基梅隆大学和斯坦福大学任教的顶尖讲师授课,他们曾为全球数千名学生提供培训,包括热门初创企业和大型跨国公司。 课程内容包括: - 学习推动模型性能所需的分析方法 - 理解如何创建自动化测试框架,以便于更高效地进行机器学习测试 - 学习人工智能可解释性对于理解模型机制和快速调试的重要性 - 理解Shapley值的概念、其重要性及其最佳应用方法 - 识别影响模型性能的漂移类型 - 学习应对模型性能挑战的方法 - 理解如何评估模型公平性、识别偏见并进行相应处理 学员反馈: 课程的现场虚拟版本受到了学员们的热烈好评,许多人表示认为这门课程的价值相当于大学里需支付数千美元的学费,并对教授们的教学质量给予了高度赞扬。 此课程为希望深造机器学习测试与调试技能的各类人士提供了宝贵的学习机会。

课程评论(0条)

课程详情

Please note - this course is being reworked and is now lecture only. The free application, hands-on exercises, and quizzes have been removed while the course is being revamped. If you would prefer to take the full version of the course after it is revamped, please check back in Fall/Winter 2024.***Want to skill up your ability to test and debug machine learning models? Ready to be a powerful contributor to the AI era, the next great wave in software and technology?Get taught by leading instructors who have previously taught at Carnegie Mellon University and Stanford University, and who have provided training to thousands of students from around the globe, including hot startups and major global corporations:You will learn the analytics that you need to drive model performanceYou will understand how to create an automated test harness for easier, more effective ML testingYou will learn why AI explainability is the key to understanding the key mechanics of your model and to rapid debuggingUnderstand what Shapley Values are, why they are so important, and how to make the most of themYou will be able to identify the types of drift that can derail model performanceYou will learn how to debug model performance challengesYou will be able to understand how to evaluate model fairness and identify when bias is occurring - and then address itTestimonials from the live, virtual version of the course: "This is what you would pay thousand of dollars for at a university." - Mike"Excellent course!!! Super thanks to Professor Datta, Josh, Arri, and Rick!!:D" - Trevia"Thank you so very much. I learned a ton. Great job!" - K. M. "Fantastic series. Great explanations and great product. Thank you." - Santosh"Thank you everyone to make this course available.wonderful sessions!" - Chris

课程标签

0人关注该课程

主题相关的课程