Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in data. This course focuses on how you can use Unsupervised Learning approaches — including randomized optimization, clustering, and feature selection and transformation — to find structure in unlabeled data.
You will learn about and practice a variety of Unsupervised Learning approaches, including: randomized optimization, clustering, feature selection and transformation, and information theory.
You will learn important Machine Learning methods, techniques and best practices, and will gain experience implementing them in this course through a hands-on final project in which you will be designing a movie recommendation system
- Lesson 1: Randomized optimization
- Lesson 2: Clustering
- Lesson 3: Feature Selection
- Lesson 4: Feature Transformation
- Lesson 5: Information Theory
- Unsupervised Learning Project
Assumes 6 Hour per week (work at your own pace)
Fees: – INR 11,940/Month (assuming $ = INR 60) after 14-day trial
Part Time/ Full time:
- Charles Isbell
- Michael Littman
- Pushkar Kolhe