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 stars63.06%
- 4 stars27.02%
- 3 stars7.20%
- 2 stars2.70%
TOP REVIEWS FROM MACHINE LEARNING INTRODUCTION FOR EVERYONE
I loved the way In which they not only teach us But also made us explore more about it and made us curious about machine learning.
Very intuitive and easy to understand the basics of Machine Learning concepts. Thank you!
Easy to follow and digestable content. Great introduction to ML!
Thanks to the Authors, I learnt a lot from this course
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