This course 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 course will introduce you to problem definition and data preparation in a machine learning project.
提供方
Machine Learning: Algorithms in the Real World 专项课程Alberta Machine Intelligence Institute课程信息
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第 1 门课程（共 4 门）
中级
完成时间大约为7 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 1 门课程（共 4 门）
中级
完成时间大约为7 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
Introduction to Machine Learning Applications
This week, you will learn about what machine learning (ML) actually is, contrast different problem scenarios, and explore some common misconceptions about ML. You will apply this knowledge by identifying different components essential to a machine learning business solution.
完成时间为 3 小时
12 个视频 （总计 44 分钟）, 6 个阅读材料, 2 个测验
完成时间为 2 小时
Machine Learning in the Real World
This week, you will learn how to translate a business need into a machine learning problem. We'll walk through some applied examples so you can get a feel for what makes a well-defined question for your QuAM. Narrowing down your question and making sure you have the data necessary to learn is critical to ML success!
完成时间为 2 小时
8 个视频 （总计 34 分钟）, 4 个阅读材料, 1 个测验
完成时间为 1 小时
Learning Data
This week is all about data. You will learn about data acquisition and understand the various sources of training data. We'll talk about how much data you need and what pitfalls might arise, including ethical issues.
完成时间为 1 小时
9 个视频 （总计 34 分钟）, 2 个阅读材料, 1 个测验
完成时间为 1 小时
Machine Learning Projects
This week you will learn about the Machine Learning Process Lifecycle (MLPL). After understanding the definitions and components of the MLPL you will analyze the application of the MLPL on a case study.
完成时间为 1 小时
7 个视频 （总计 35 分钟）, 2 个阅读材料, 1 个测验
审阅
- 5 stars74.53%
- 4 stars19.85%
- 3 stars4.60%
- 2 stars0.28%
- 1 star0.71%
来自INTRODUCTION TO APPLIED MACHINE LEARNING的热门评论
由 CW 提供Sep 14, 2020
The lectures are very clear and easy to follow. More importantly, it gives me a big picture of how Machine Learning can be applied to the real-world business.
由 BT 提供Jan 5, 2020
Course gives a broader understanding of any Machine Learning project, how to approach and what are the important things to keep in mind.
由 AA 提供Sep 11, 2019
very comprehensive course on applied machine learning. the most interesting information in this course is business needs for ML and what it's requirement to have a good QuAM.
由 KS 提供Oct 13, 2019
This course will give the actual understanding especially focusing on different types of Machine learning with real examples. I'm so excited to learn more about it.
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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