Machine Learning: Clustering & Retrieval It's a Free Course. Enroll it before the instructor makes it to the paid course.
In this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval. In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA). You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce.
Learning Outcomes:
- By the end of this course, you will be able to:
- -Create a document retrieval system using k-nearest neighbors.
- -Identify various similarity metrics for text data.
- -Reduce computations in k-nearest neighbor search by using KD-trees.
- -Produce approximate nearest neighbors using locality sensitive hashing.
- -Compare and contrast supervised and unsupervised learning tasks.
- -Cluster documents by topic using k-means.
- -Describe how to parallelize k-means using MapReduce.
- -Examine probabilistic clustering approaches using mixtures models.
- -Fit a mixture of Gaussian model using expectation maximization (EM).
- -Perform mixed membership modeling using latent Dirichlet allocation (LDA).
- -Describe the steps of a Gibbs sampler and how to use its output to draw inferences.
- -Compare and contrast initialization techniques for non-convex optimization objectives.
- -Implement these techniques in Python.
Course Duration: 17 hours
Course Rating : 4.6
Corse Instructors : Emily Fox and Carlos Guestrin
Offered By: University of Washington
Can I download Machine Learning: Clustering & Retrieval course?
Course videos can be downloaded for offline viewing using the Udemy mobile app on Android and iOS. Some courses may allow downloading lectures on a computer only if the instructor has enabled it, but this is not guaranteed and is not the primary method Udemy supports.Can I get a certificate after completing the course?
Yes. After successful completion of the Machine Learning: Clustering & Retrieval, learners will receive a certificate of completion. The certificate confirms that the course has been completed and can be downloaded and shared on resumes or professional profiles.Are there any other coupons available for this course?
Additional coupons for this course may be available from time to time. Coupon availability is time-limited and may change or expire at any time, so it’s recommended to check regularly for updated offers.Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
