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學生對 华盛顿大学 提供的 Machine Learning: Clustering & Retrieval 的評價和反饋

4.6
1,839 個評分
316 條評論

課程概述

Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover? 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....

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JM

Jan 17, 2017

Excellent course, well thought out lectures and problem sets. The programming assignments offer an appropriate amount of guidance that allows the students to work through the material on their own.

BK

Aug 25, 2016

excellent material! It would be nice, however, to mention some reading material, books or articles, for those interested in the details and the theories behind the concepts presented in the course.

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126 - Machine Learning: Clustering & Retrieval 的 150 個評論(共 304 個)

創建者 shaonan

Nov 20, 2016

Deep insight into most useful techniques of machine learning.

創建者 JOSE R

Nov 18, 2017

Very well explained. The LDA was difficult to learn. Thanks.

創建者 Daniel R

Aug 17, 2016

Another great hit by Emily and Carlos!!! Excellent Course!!!

創建者 Yifei L

Jul 30, 2016

Good course for KD trees, LSH, Gaussian mixed model and LDA.

創建者 Victor C

Jun 24, 2017

Excellent teacher and material. I wish there were more...

創建者 Moayyad A Y

Dec 04, 2016

this is not a an easy course but certainly an awesome one

創建者 Fengchen G

Sep 02, 2016

Awesome course! The session on EM algorithm is revealing!

創建者 Yong D K

May 07, 2018

This is the best course for Information Retrieval ever!

創建者 Sameer M

Sep 19, 2017

Excellent course! must for machine learning beginners!!

創建者 陈佳艺

May 17, 2017

sometimes difficult,but import so many useful knowledge

創建者 백원광

Jan 17, 2017

Very sophisticated, friendly and practical instructions

創建者 Manoj K

Nov 26, 2018

session was very helpful & full with relevant contents

創建者 Siwei Y

Jan 17, 2017

本来不报什么期望,但是该门课确实做得相当好。 相信该课的老师们花了巨大的心血。真的是业界良心。所以强烈点赞。

創建者 Oleg B

Dec 04, 2016

Great course, very hands-on, very practical knowledge.

創建者 KAI N

Jan 03, 2019

Excellent course with great and reachable explanation

創建者 Vladimir V

Jun 27, 2017

Awesome course. Thank you Emily, Carlos and Coursera!

創建者 Kishore P V

Oct 05, 2016

One of the best machine learning course I have taken.

創建者 Jaswant J

Mar 31, 2017

Very nice course. Concepts are covered very clearly.

創建者 Yang X

Nov 15, 2017

Thank you Emily and Carlos! You guys are amazing!!!

創建者 Sean L

Oct 04, 2016

wonderful course for beginner of machine learning.

創建者 Banka C G

Aug 10, 2019

Its my great experience for step by step modules

創建者 Yufeng X

Jul 09, 2019

It opened the door to more advanced techniques.

創建者 Anmol G

Dec 16, 2016

So Much Concepts to learn and totally worth it!

創建者 yoon s w

Jul 26, 2018

good to learn what is clustering and retrieval

創建者 Arash A

Jan 05, 2017

Enjoyed the course and learned a lot. Amazing!