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 專項課程Alberta Machine Intelligence Institute課程信息
7,174 次近期查看
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100% 在線
立即開始，按照自己的計劃學習。
第 4 門課程（共 4 門）
完成時間大約為12 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 4 門課程（共 4 門）
完成時間大約為12 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（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
授課大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
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.
完成時間為 3 小時
8 個視頻 （總計 42 分鐘）, 1 個閱讀材料, 7 個測驗
完成時間為 2 小時
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.
完成時間為 2 小時
6 個視頻 （總計 27 分鐘）
完成時間為 2 小時
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.
完成時間為 2 小時
8 個視頻 （總計 33 分鐘）
完成時間為 5 小時
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.
完成時間為 5 小時
9 個視頻 （總計 45 分鐘）
審閱
- 5 stars76.19%
- 4 stars9.52%
- 3 stars11.90%
- 1 star2.38%
來自OPTIMIZING MACHINE LEARNING PERFORMANCE的熱門評論
由 EG 提供2020年1月8日
The whole specialization is extremely useful for people starting in ML. Highly recommended!
由 PZ 提供2021年3月21日
One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.
由 LD 提供2020年8月28日
Too bad that few students taking it and I cannot get peer reviews..............
由 MB 提供2022年1月5日
Very good course! I appreciate the opportunity to learn more from Alberta Machine Intelligence Institute. On the downside, Peer-graded Assignment block our progress on the course.
關於 Machine Learning: Algorithms in the Real World 專項課程
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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