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.
Machine Learning Essentials for Business and Technical Decision Makers
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Gain insight into a topic and learn the fundamentals.
13 reviews
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
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.
Skills you'll gain
- Solution Design
- MLOps (Machine Learning Operations)
- Business Analytics
- Data-Driven Decision-Making
- Organizational Change
- AI Enablement
- AI Product Strategy
- Product Roadmaps
- Feasibility Studies
- Organizational Strategy
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Technology Roadmaps
- Business Solutions
- System Requirements
- Machine Learning
- Training Programs
Details to know
Assessments
1 assignment
Taught in English
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There is 1 module in this course
Instructor
Offered by
Explore more from Machine Learning
Northeastern University
University of Pennsylvania
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Showing 3 of 13
MS
Reviewed on Mar 3, 2025
this is better of the beginners to learn about ML essentials
PD
Reviewed on Oct 22, 2025
Great introduction to an overall journey towards building an ML organisation. Packed with information and concepts!
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