Machine Learning
This Specialization from University of Washington researchers introduces you to the innovative and in-demand topic of Machine Learning. You’ll receive practical experience in major areas of Machine Learning, such as prediction, classification, clustering, and information retrieval, through a series of case studies. You’ll learn how to analyze vast and complex datasets.
This Specialization from University of Washington researchers introduces you to the innovative and in-demand topic of Machine Learning. You’ll receive practical experience in major areas of Machine Learning, such as prediction, classification, clustering, and information retrieval, through a series of case studies. You’ll learn how to analyze vast and complex datasets.
What's included in this course:
- Introduction and One-Variable Linear Regression
- MATLAB Tutorial for Linear Regression with Multiple Variables
- Regularization and Logistic Regression
- Representation in Neural Networks
- Learning with Neural Networks
- Recommendations for Using Machine Learning
- Design of a Machine Learning System
- Vector Support Machines (SVMs)
- Learning Without Supervision
Skills you'll developed:
- Logistic Regression
- Artificial Neural Network
- Machine Learning (ML) Algorithms
NOTES:
This course has a flexible timeframe and a shareable credential that will help you advance in your job. Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Hebrew, Spanish, Hindi, and Japanese subtitles are included in the course.
Machine Learning
This Specialization from University of Washington researchers introduces you to the innovative and in-demand topic of Machine Learning. You’ll receive practical experience in major areas of Machine Learning, such as prediction, classification, clustering, and information retrieval, through a series of case studies. You’ll learn how to analyze vast and complex datasets.
What's included in the course:
- Introduction and One-Variable Linear Regression
- MATLAB Tutorial for Linear Regression with Multiple Variables
- Regularization and Logistic Regression
- Representation in Neural Networks
- Learning with Neural Networks
- Advice for Applying Machine Learning
- Recommendations for Using Machine Learning
- Vector Support Machines (SVMs)
- Learning Without Supervision
Skills you'll developed:
- Logistic Regression
- Artificial Neural Network
- Machine Learning (ML) Algorithms
NOTES:
This course has a flexible timeframe and a shareable credential that will help you advance in your job. Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Hebrew, Spanish, Hindi, and Japanese subtitles are included in the course.
INTERESTED TO BUY THIS COURSE?
GET IN TOUCH WITH US NOW!
Contact us to learn more about this course!
Courses you might like!
