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.
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）
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中级
完成时间大约为6 小时
英语（English）
字幕：英语（English）
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）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为6 小时
英语（English）
字幕：英语（English）
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
教学大纲 - 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
12 个视频
Instructor Introduction1分钟
Introduction to Course 12分钟
What is Artificial Intelligence and Machine Learning?5分钟
What about Data Science?3分钟
The Machine Learning Process4分钟
The Three Kinds of Machine Learning3分钟
Classification: What is it and how does it work?3分钟
Regression: Fitting lines and predicting numbers3分钟
Unsupervised Learning4分钟
Reinforcement Learning6分钟
Weekly Summary1分钟
6 个阅读材料
What about Deep Learning? (supplemental)10分钟
Fooling Neural Networks (supplemental)10分钟
How to Curate A Ground Truth For Your Business Dataset (Required)10分钟
Learning From Multiple Annotators: A Survey (supplemental)10分钟
Inferring the Ground Truth Through Crowdsourcing (supplemental)10分钟
Semi Supervised Learning (required)10分钟
2 个练习
Concepts and Definitions20分钟
Identifying Machine Learning Techniques10分钟
完成时间为 1 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 1 小时
8 个视频 （总计 34 分钟）, 4 个阅读材料, 1 个测验
8 个视频
Features and transformations of raw data6分钟
Farmer Betty and Her Precision Agriculture Plans3分钟
What to consider when using your QuAM2分钟
Broad Examples Narrowed Down4分钟
Identify Business Evaluation4分钟
Everything is a Proxy4分钟
Weekly Summary2分钟
4 个阅读材料
A Brief Introduction into Precision Agriculture10分钟
Farmer Betty Tried Unsupervised Learning (required)10分钟
Data is Central to Your ML Problem (required)10分钟
Martin Zinkevich's Rules for ML (supplemental)10分钟
1 个练习
Machine Learning in the Real World Review
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
9 个视频
How Much Data Do I Need?4分钟
Ethical Issues4分钟
Bias in Data Sources3分钟
Noise and Sources of Randomness5分钟
Image Classification Example3分钟
Data Cleaning: Everybody's favourite task4分钟
Why you need to set up a Data Pipeline4分钟
Weekly Summary1分钟
2 个阅读材料
Data Protection Laws (required)10分钟
Government readings on data privacy (supplemental)10分钟
1 个练习
Understanding Data for ML
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
7 个视频
MLPL as experienced by Farmer Betty3分钟
Exploring the process of problem definition7分钟
Assessing your QuAM for use in your Business6分钟
Technically Assessing the Strength of your QuAM6分钟
Different Kinds of Wrong4分钟
Weekly Summary2分钟
2 个阅读材料
Machine Learning Process Lifecycle Explained10分钟
Deep Learning for Identifying Metastatic Breast Cancer (advanced supplemental)10分钟
1 个练习
Understanding Machine Learning Projects
审阅
来自INTRODUCTION TO APPLIED MACHINE LEARNING的热门评论
由 MM 提供Oct 28, 2019
I have really got benefit from this course as a beginner to ML, it gives me the best understanding of ML. I m looking forward to getting into it more efficiently with more practices.
由 HL 提供Jun 21, 2020
An excellent introduction to the fascinating world of machine learning and its endless applications. Loved the emphasis on the evaluation of the business prospect of ML as well.
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 PA 提供Jun 4, 2020
For me this is Excellent Course for you who want to know how we applied machine learning into business,I've learn so much , and the instructor ,I love the way she teach
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.
After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.
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讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
- 课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
- 课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
有助学金吗？
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完成课程后，我会获得大学学分吗？
此课程不提供大学学分，但部分大学可能会选择接受课程证书作为学分。查看您的合作院校，了解详情。Coursera 上的在线学位和 Mastertrack™ 证书提供获得大学学分的机会。
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