Data Science: Building Machine Learning Models
- Free to audit
- Paid certificate
- Course certificate
- Beginner
- 8 weeks
Data Science: Building Machine Learning Models introduces machine learning by having you build a movie recommendation system in R. You learn what distinguishes machine learning from other computer-guided decision processes, how training data is used to discover potentially predictive relationships, several popular algorithms, principal component analysis, and regularization and why it is useful. The course also covers overtraining and how to avoid it with cross-validation.
Harvard frames these as the skills behind everyday products such as handwriting readers, speech recognition, recommendation systems and spam detectors. Part of HarvardX's Professional Certificate in Data Science, it is self-paced, eight weeks long at 2 to 4 hours per week, and rated introductory. Harvard lists the course as free to audit on edX, with a verified certificate available for $149.
What you’ll learn
- Explain the basics of machine learning and training data
- Perform cross-validation to avoid overtraining
- Apply several popular machine learning algorithms
- Use principal component analysis and regularization
- Build a movie recommendation system
Who it’s for
R users who have covered probability, inference and regression and want a first machine learning course.
Source: Harvard Online (opens in a new tab) · Verified · Report a change
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