关于此 专项课程

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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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中级
完成时间大约为4 个月
建议 2 小时/周
英语(English)
字幕:英语(English)
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为4 个月
建议 2 小时/周
英语(English)
字幕:英语(English)

此专项课程包含 4 门课程

课程1

课程 1

Introduction to Applied Machine Learning

4.7
321 个评分
87 条评论
课程2

课程 2

Machine Learning Algorithms: Supervised Learning Tip to Tail

4.6
111 个评分
24 条评论
课程3

课程 3

Data for Machine Learning

4.5
38 个评分
9 条评论
课程4

课程 4

Optimizing Machine Learning Performance

4.5
11 个评分
3 条评论

提供方

Alberta Machine Intelligence Institute 徽标

Alberta Machine Intelligence Institute

常见问题

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • It is recommended that you take 4-6 months to complete this specialization.

  • We recommend a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.

  • We recommend taking the courses in sequential order.

  • You will earn a specialization certificate from Coursera however you will not receive any University of Alberta credits.

  • By the end of the specialization, you will be able to understand and manage 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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