This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project.
This course is part of the Machine Learning: Algorithms in the Real World Specialization
About this Course
Syllabus - What you will learn from this course
Introduction to Machine Learning Applications
Machine Learning in the Real World
Machine Learning Projects
- 5 stars74.47%
- 4 stars20.02%
- 3 stars4.51%
- 2 stars0.28%
- 1 star0.70%
TOP REVIEWS FROM INTRODUCTION TO APPLIED MACHINE LEARNING
I have taken a great deal of knowledge in this course and have applied it to what I have seen in the ML and AI world. This was a great introduction!
Very nice , informative introduction.It's very broad and generalized introduction of the Machine Learning.
I am definitely going for the next curse.
very comprehensive course on applied machine learning. the most interesting information in this course is business needs for ML and what it's requirement to have a good QuAM.
This is course is truly amazing for the people who want to know about the things that need to be considered when making a QUAM or an ML system. Looking forward to knowing more about ML!
About the Machine Learning: Algorithms in the Real World Specialization
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