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Machine Learning: Clustering & Retrieval
This course is part of Machine Learning.
Course Cost
Free course
Advanced
Skill Level
14 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
98,482 Enrolled
English
What you'll learn
Create document retrieval systems using k-nearest neighbors
Implement clustering algorithms with k-means and EM
Apply locality sensitive hashing for efficient search
Develop probabilistic clustering models
Build mixed membership models using LDA
Scale clustering solutions using MapReduce
Skills you'll gain
This course includes:
6.5 Hours PreRecorded video
15 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
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There are 6 modules in this course
This comprehensive course explores advanced machine learning techniques for clustering and retrieval tasks. Students learn to implement various algorithms including k-nearest neighbors, k-means clustering, expectation maximization, and latent Dirichlet allocation. The course covers practical applications in document analysis, image clustering, and text mining. Through hands-on programming assignments, learners develop skills in building scalable solutions using MapReduce and other optimization techniques.
Welcome
Module 1 · 1 Hours to complete
Nearest Neighbor Search
Module 2 · 5 Hours to complete
Clustering with k-means
Module 3 · 2 Hours to complete
Mixture Models
Module 4 · 3 Hours to complete
Mixed Membership Modeling via Latent Dirichlet Allocation
Module 5 · 2 Hours to complete
Hierarchical Clustering & Closing Remarks
Module 6 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Machine Learning
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Faculties
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Courses
4.7
1,191
Reviews
4,78,519
Students
6
Courses
Frequently asked Questions
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