Harvard University - Data Science: Machine Learning by Harvard
- Offered byedX
Data Science: Machine Learning by Harvard at edX Overview
Data Science: Machine Learning by Harvard
at edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Duration | 7 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Science: Machine Learning by Harvard at edX Highlights
Data Science: Machine Learning by Harvard
at edX
- Video transcript available both in Arabic & English
- Instructor - Rafael Irizarry
- Pursue a Verified Certificate to highlight the knowledge and skills you gain
?3,671 - Self paced Course
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Data Science: Machine Learning by Harvard at edX Course details
Data Science: Machine Learning by Harvard
at edX
Skills you will learn
Who should do this course?
- This course is designed for those who want to learn skills fundamental to machine learning.
More about this course
- Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors. In this course,part of the Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system. You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.
Data Science: Machine Learning by Harvard at edX Curriculum
Data Science: Machine Learning by Harvard
at edX
The basics of machine learning
How to perform cross-validation to avoid overtraining
Several popular machine learning algorithms
How to build a recommendation system
What is regularization and why it is useful?
Data Science: Machine Learning by Harvard at edX Entry Requirements
Data Science: Machine Learning by Harvard
at edX
Eligibility criteria
- This course is part of the Professional Certificate Program in Data Science and it is recommended to take the preceding courses in the series as prerequisites.
Conditional Offer
- Not mentioned
Data Science: Machine Learning by Harvard at edX Admission Process
Data Science: Machine Learning by Harvard
at edX
Important Dates
May 25, 2024
Course Commencement Date
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