Unsupervised Machine Learning
IBM Introduction to Machine Learning,
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. The hands-on section of this course focuses on using best practices for unsupervised learning. By the end of this course you should be able to: Explain the kinds of problems suitable for Unsupervised Learning approaches Explain the curse of dimensionality, and how it makes clustering difficult with many features Describe and use common clustering and dimensionality-reduction algorithms Try clustering points where appropriate, compare the performance of per-cluster models Understand metrics relevant for characterizing clusters Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics.
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 8 weeks |
Starts | Jul 3 (44 weeks ago) |
Cost | $49 |
From | IBM, IBM Skills Network via Coursera |
Instructors | Mark J Grover, Miguel Maldonado, Joseph Santarcangelo, Xintong Li |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Programming |
Tags | Data Science Data Analysis Machine Learning |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Learning Coach/Mentor $51k
Living-Learning Communities Coordinator $52k
Associate Americas Learning Specialist $52k
Adult Learning AmeriCorps Member $55k
Computer Vision, Deep Learning Engineer $67k
Program Manager, Learning and Professional Development $68k
Team Learning & Development Specialist Lead $68k
Learning and Development Corporate Trainer $79k
HR Learning and Development/Training Instructor $87k
Senior Learning Specialist, Learning and Development $102k
Regional Learning Solutions Analyst Consultant $109k
Principal Learning Leader $176k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 8 weeks |
Starts | Jul 3 (44 weeks ago) |
Cost | $49 |
From | IBM, IBM Skills Network via Coursera |
Instructors | Mark J Grover, Miguel Maldonado, Joseph Santarcangelo, Xintong Li |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Programming |
Tags | Data Science Data Analysis Machine Learning |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course