This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more. Our labs give you hands-on experience with these machine learning and data science concepts. You will develop concrete machine learning skills as well as create a final project demonstrating your proficiency.
Machine Learning Introduction for EveryoneIBM Skills Network
About this Course
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
Syllabus - What you will learn from this course
Machine Learning for Everyone
Machine Learning Topics
(Optional Honors) Final Project
- 5 stars62.72%
- 4 stars27.27%
- 3 stars7.27%
- 2 stars2.72%
TOP REVIEWS FROM MACHINE LEARNING INTRODUCTION FOR EVERYONE
Its very useful in understanding the basics of Machine Learning - Introduction.
Very intuitive and easy to understand the basics of Machine Learning concepts. Thank you!
Thanks to the Authors, I learnt a lot from this course
my tool doesn't work!
I can't use it to upgrade my account and do my project!
says tha it's invalid
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I purchase the Certificate?
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.