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The Planning a Machine Learning Project course introduces requirements to determine if ML is the appropriate solution to a business problem. This course focuses on business leaders and other decision-makers currently or potentially involved in ML projects.
Register for this course and see more details by visiting:
OpenCourser.com/course/e23h7a/planning
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What's inside
Syllabus
Planning a Machine Learning Project
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Tailored for business leaders and decision-makers involved or considering ML projects
Provides guidance on determining if ML is a suitable solution for business problems
Developed by AWS Instructors, recognized experts in cloud computing and ML
Save this course
Save Planning a Machine Learning Project to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Planning a Machine Learning Project with these
activities:
Review prerequisite materials
Show steps
Review foundational concepts and materials to ensure a solid understanding of the fundamentals of machine learning.
Show steps
-
Review lecture notes and textbooks from previous courses
-
Complete practice problems and exercises
-
Take practice quizzes and exams
Compile a list of machine learning resources
Show steps
Create a valuable resource for future reference by gathering and organizing a comprehensive list of machine learning materials.
Show steps
-
Identify different types of machine learning resources
-
Search for and evaluate resources
-
Organize resources into a structured format
Follow online tutorials on machine learning algorithms
Show steps
Enhance understanding of specific machine learning algorithms and their applications by following guided tutorials.
Show steps
-
Identify specific algorithms to focus on
-
Find reputable online tutorials or courses
-
Follow the tutorials step-by-step
-
Implement the algorithms in a programming environment
Three other activities
Expand to see all activities and additional details
Show all six activities
Volunteer at a machine learning organization
Show steps
Gain practical experience and connect with professionals in the field of machine learning.
Show steps
-
Identify machine learning organizations that offer volunteer opportunities
-
Apply for a volunteer position
-
Participate in volunteer activities and learn from experienced professionals
Participate in a machine learning hackathon
Show steps
Challenge oneself to solve real-world problems using machine learning in a collaborative and competitive environment.
Show steps
-
Find a machine learning hackathon to participate in
-
Form a team or work individually
-
Develop a solution to the hackathon challenge
-
Submit the solution and compete for prizes or recognition
Write a report on machine learning best practices
Show steps
Enhance understanding of responsible and effective use of machine learning by researching and documenting best practices.
Browse courses on
Machine Learning Ethics
Show steps
-
Research different aspects of machine learning best practices
-
Summarize key findings in a written report
-
Identify areas for further exploration
Review prerequisite materials
Show steps
Review foundational concepts and materials to ensure a solid understanding of the fundamentals of machine learning.
Show steps
Show steps
Show steps
- Review lecture notes and textbooks from previous courses
- Complete practice problems and exercises
- Take practice quizzes and exams
Compile a list of machine learning resources
Show steps
Create a valuable resource for future reference by gathering and organizing a comprehensive list of machine learning materials.
Show steps
Show steps
Show steps
- Identify different types of machine learning resources
- Search for and evaluate resources
- Organize resources into a structured format
Follow online tutorials on machine learning algorithms
Show steps
Enhance understanding of specific machine learning algorithms and their applications by following guided tutorials.
Show steps
Show steps
Show steps
- Identify specific algorithms to focus on
- Find reputable online tutorials or courses
- Follow the tutorials step-by-step
- Implement the algorithms in a programming environment
Three other activities
Expand to see all activities and additional details
Show all six activities
Volunteer at a machine learning organization
Show steps
Gain practical experience and connect with professionals in the field of machine learning.
Show steps
Show steps
Show steps
- Identify machine learning organizations that offer volunteer opportunities
- Apply for a volunteer position
- Participate in volunteer activities and learn from experienced professionals
Participate in a machine learning hackathon
Show steps
Challenge oneself to solve real-world problems using machine learning in a collaborative and competitive environment.
Show steps
Show steps
Show steps
- Find a machine learning hackathon to participate in
- Form a team or work individually
- Develop a solution to the hackathon challenge
- Submit the solution and compete for prizes or recognition
Write a report on machine learning best practices
Show steps
Enhance understanding of responsible and effective use of machine learning by researching and documenting best practices.
Browse courses on
Machine Learning Ethics
Show steps
Show steps
Show steps
- Research different aspects of machine learning best practices
- Summarize key findings in a written report
- Identify areas for further exploration
Career center
Learners who complete Planning a Machine Learning Project will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/e23h7a/planning
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/e23h7a/planning
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Via
Coursera
Institution
Amazon Web Services
Instructor
AWS Instructor
Session
August 26, 2024
- September 9, 2024
Language
English
Good to know
Tailored for business leaders and decision-makers involved or considering ML projects
Provides guidance on determining if ML is a suitable solution for business problems
Developed by AWS Instructors, recognized experts in cloud computing and ML
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