This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. You will understand and analyze how to deal with changing data. You will also be able to identify and interpret potential unintended effects in your project. You will understand and define procedures to operationalize and maintain your applied machine learning model. By the end of this course you will have all the tools and understanding you need to confidently roll out a machine learning project and prepare to optimize it in your business context.
提供方
Machine Learning: Algorithms in the Real World 专项课程Alberta Machine Intelligence Institute课程信息
1,807 次近期查看
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100% 在线
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第 4 门课程（共 4 门）
完成时间大约为12 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 4 门课程（共 4 门）
完成时间大约为12 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is home to some of the world’s top talent in machine intelligence. We’re an Alberta-based
授课大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
Machine Learning Strategy
This week we'll present tools for understanding the overall strategy your business needs in order to see the best returns on ML investment. From understanding the current status to navigating ownership and setting up a team, this week is about understanding applied machine learning in a successful business context.
完成时间为 3 小时
8 个视频 （总计 42 分钟）, 1 个阅读材料, 7 个测验
完成时间为 2 小时
Responsible Machine Learning
This week we'll talk about the broader context of machine learning: how as developers we have responsibilities regarding how our technology will be used. Using case studies and existing frameworks we'll give you the tools to figure out your own ethical approach to realize the best outcomes while deploying machine learning in the real world.
完成时间为 2 小时
6 个视频 （总计 27 分钟）
完成时间为 2 小时
Machine Learning in Production & Planning
An important aspect of machine learning in the real world is considering how your machine learning models are integrated with existing systems, and what effect they have on your operations. This week we'll review things you should consider as you turn QuAMs and machine learning models into operational tools.
完成时间为 2 小时
8 个视频 （总计 33 分钟）
完成时间为 5 小时
Care and Feeding of your Machine Learning System
Work doesn't end just because your model is deployed! In our final week we'll go over all the things you need to consider in the context of an actual working system.
完成时间为 5 小时
9 个视频 （总计 45 分钟）
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来自OPTIMIZING MACHINE LEARNING PERFORMANCE的热门评论
由 PZ 提供Mar 21, 2021
One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.
由 EG 提供Jan 8, 2020
The whole specialization is extremely useful for people starting in ML. Highly recommended!
由 LD 提供Aug 28, 2020
Too bad that few students taking it and I cannot get peer reviews..............
由 VM 提供Mar 30, 2020
Nice course! Long time waiting for peer-grades, but ok.
关于 Machine Learning: Algorithms in the Real World 专项课程
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.
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