In this course, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the appropriate solution to a business problem, and describes what components are needed for a successful organizational adoption of ML.


您将学到什么
Understand the basics of machine learning to help evaluate the benefits and risks associated with adopting ML in various business cases.
Identify the data, time, and production requirements for a successful ML project.
Describe how to adapt an organization to achieve and sustain success using ML.
您将获得的技能
- Solution Design
- Machine Learning
- Organizational Strategy
- Feasibility Studies
- Data-Driven Decision-Making
- Applied Machine Learning
- Business Solutions
- AI Product Strategy
- MLOps (Machine Learning Operations)
- Organizational Change
- System Requirements
- Business Analytics
- Technology Roadmaps
- Artificial Intelligence and Machine Learning (AI/ML)
要了解的详细信息
1 项作业
了解顶级公司的员工如何掌握热门技能

该课程共有1个模块
涵盖的内容
1篇阅读材料1个作业
位教师

从 Machine Learning 浏览更多内容
状态:预览Northeastern University
状态:免费试用
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学生评论
10 条评论
- 5 stars
90%
- 4 stars
0%
- 3 stars
10%
- 2 stars
0%
- 1 star
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显示 3/10 个
已于 Mar 3, 2025审阅
this is better of the beginners to learn about ML essentials
已于 Oct 22, 2025审阅
Great introduction to an overall journey towards building an ML organisation. Packed with information and concepts!
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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