Machine Learning: Clustering & Retrieval

Name: Machine Learning: Clustering & Retrieval
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Author: University of Washington

Archived

Course

English

Subtitles available

30 h

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Source

From www.coursera.org

Conditions

Self-paced
Free Access
Fee-based Certificate

More info

6 Sequences
Introductive Level
Subtitles in Arabic

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Course details

Syllabus

Week 1 - Welcome
Clustering and retrieval are some of the most high-impact machine learning tools out there. Retrieval is used in almost every applications and device we interact with, like in providing a set of products related to one a shopper is currently considering, or a...
Week 2 - Nearest Neighbor Search
We start the course by considering a retrieval task of fetching a document similar to one someone is currently reading. We cast this problem as one of nearest neighbor search, which is a concept we have seen in the Foundations and Regression courses. However...
Week 3 - Clustering with k-means
In clustering, our goal is to group the datapoints in our dataset into disjoint sets. Motivated by our document analysis case study, you will use clustering to discover thematic groups of articles by "topic". These topics are not provided in this unsupervise...
Week 4 - Mixture Models
In k-means, observations are each hard-assigned to a single cluster, and these assignments are based just on the cluster centers, rather than also incorporating shape information. In our second module on clustering, you will perform probabilistic model-based ...
Week 5 - Mixed Membership Modeling via Latent Dirichlet Allocation
The clustering model inherently assumes that data divide into disjoint sets, e.g., documents by topic. But, often our data objects are better described via memberships in a collection of sets, e.g., multiple topics. In our fourth module, you will explore lat...
Week 6 - Hierarchical Clustering & Closing Remarks
In the conclusion of the course, we will recap what we have covered. This represents both techniques specific to clustering and retrieval, as well as foundational machine learning concepts that are more broadly useful.
We provide a quick tour into an altern...

Prerequisite

None.

Instructors

Emily Fox
Amazon Professor of Machine Learning
Statistics

Carlos Guestrin
Amazon Professor of Machine Learning
Computer Science and Engineering

Editor

The University of Washington is a public research university in Seattle, Washington. Founded on November 4, 1861 as Territorial University, Washington is one of the oldest universities on the West Coast and was established in Seattle about a decade after the city's founding.

The university has a 703-acre main campus located in the city's University District, as well as campuses in Tacoma and Bothell. Overall, UW comprises more than 500 buildings and more than 20 million gross square feet of space, including one of the world's largest library systems with more than 26 academic libraries, art centres, museums, laboratories, lecture halls and stadiums.

Washington is the flagship institution of Washington State's six public universities. It is renowned for its medical, technical and scientific research.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.