Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Unsupervised Learning online course by Udacity aims to educate you on Unsupervised Learning concepts. During the course, you will study and practice a wide range of Unsupervised Learning approaches. These include clustering, information theory, randomised optimisation, transformation and feature selection, etc.
The Unsupervised Learning online programme focuses on how you can utilise Unsupervised Learning methods to discover structure in unlabelled data. You will also learn how to use it for identifying patterns and analyse data. The course provides detailed insights into the best practices and important techniques for Machine Learning.
The programme duration is approximately one month. The Georgia Institute of Technology, USA offers Udacity’s Unsupervised Learning online training. This intermediate-level programme includes rich video content delivered by expert instructors. Moreover, you will learn via interactive quizzes and reading resources. You will also work on a final project to gain practical knowledge of ML.
The Highlights
- Free programme access
- Intermediate-level course
- Self-paced learning
- 1-month course
- Offered by Georgia Tech, USA
- Online learning
Programme Offerings
- Instructor videos
- Digital learning platform
- Practical exercises
- Extensive curriculum
- quizzes
- Free course access
- 1-month training
- Self-paced learning
- An offering of Georgia Tech
- Experienced Instructors
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
Unsupervised Learning fee structure:
Course name | Fee |
One Time Payment | ₹ 82,000 |
| Month-To-Month | ₹ 20,500/month |
Eligibility Criteria
To join the Unsupervised Learning training, you must have some Python programming experience. You need to be comfortable working with Python libraries like scikit and NumPy. You also need a good understanding of probability and statistics.
What you will learn
Near the end of the Unsupervised Learning programme, you should understand:
- Unsupervised Learning is a tool for recognising structure in data
- Approaches to Unsupervised learning including feature selection, randomised optimisation, transformation, and clustering
- ML methods and best practices
- Building a movie recommendation system
Admission Details
Step 1 – Go to the link - https://www.udacity.com/course/machine-learning-unsupervised-learning--ud741 to land on the Unsupervised Learning course page.
Step 2 – Locate and tap the ‘Start Free Course’ button. A registration page will appear on your screen.
Step 3 – Provide basic details and click on the ‘Sign Up’ button to create a new ID. Alternatively, sign in through a Facebook or Google account.
Application Details
You just need to create an account or log in to the Udacity portal to join the Unsupervised Learning course. Just enter your password, email, and name while signing up. There is no application form to fill.
The Syllabus
Instructors
Georgia Tech Frequently Asked Questions (FAQ's)
Yes, you must have experience in Python programming before enrolling in the course.
This online course has six modules/lessons as part of its curriculum.
There are three expert instructors for the Unsupervised Learning course. They are Pushkar Kolhe, Charles Isbell, and Michael Littman.
The Georgia Institute of Technology (Georgia Tech) offers this online programme.
The course is purely self-paced. Still, it may take about one month to complete its contents.