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
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About this Course
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Syllabus - What you will learn from this course
Introduction to Machine Learning Applications
Machine Learning in the Real World
Learning Data
Machine Learning Projects
Reviews
- 5 stars74.47%
- 4 stars20.02%
- 3 stars4.51%
- 2 stars0.28%
- 1 star0.70%
TOP REVIEWS FROM INTRODUCTION TO APPLIED MACHINE LEARNING
one of the best ways to get started in machine learning is by this course. It rather starts with concepts before starting programing
This course was very helpful and fruitful. It is a good entry for machine learning and I really recommend it. Thanks, Anna, Thanks, amii
This is a course that gives a much-needed overview that is rarely mentioned in other resources. Ana is a very cool teacher...
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.
About the Machine Learning: Algorithms in the Real World Specialization

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