About this Course

29,653 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level
Approx. 7 hours to complete
English

What you will learn

  • Compare and contrast artificial intelligence, machine learning, and deep learning 

  • Explain the machine learning models development lifecycle  

  • Differentiate between supervised and unsupervised machine learning 

  • Evaluate classification models using metrics such as accuracy, confusion matrices, precision, and recall

Skills you will gain

  • Deep Learning
  • Artificial Intelligence (AI)
  • Machine Learning
  • Reinforcement Learning
  • Machine Learning Model Lifecycle
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level
Approx. 7 hours to complete
English

Offered by

Placeholder

IBM Skills Network

Syllabus - What you will learn from this course

Week1
Week 1
2 hours to complete

Machine Learning for Everyone

2 hours to complete
6 videos (Total 35 min), 2 readings, 1 quiz
Week2
Week 2
2 hours to complete

Machine Learning Topics

2 hours to complete
6 videos (Total 37 min), 4 readings, 1 quiz
Week3
Week 3
3 hours to complete

(Optional Honors) Final Project

3 hours to complete
1 reading

Reviews

TOP REVIEWS FROM MACHINE LEARNING INTRODUCTION FOR EVERYONE

View all reviews

Frequently Asked Questions

More questions? Visit the Learner Help Center.