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返回到 机器学习基础:案例研究

學生對 华盛顿大学 提供的 机器学习基础:案例研究 的評價和反饋

4.6
9,061 個評分
2,163 個審閱

課程概述

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications. Learning Outcomes: By the end of this course, you will be able to: -Identify potential applications of machine learning in practice. -Describe the core differences in analyses enabled by regression, classification, and clustering. -Select the appropriate machine learning task for a potential application. -Apply regression, classification, clustering, retrieval, recommender systems, and deep learning. -Represent your data as features to serve as input to machine learning models. -Assess the model quality in terms of relevant error metrics for each task. -Utilize a dataset to fit a model to analyze new data. -Build an end-to-end application that uses machine learning at its core. -Implement these techniques in Python....

熱門審閱

SZ

Dec 20, 2016

Great course!\n\nEmily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.

PM

Aug 19, 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.

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151 - 机器学习基础:案例研究 的 175 個評論(共 2,083 個)

創建者 Sunil B

Nov 02, 2018

Very detailed and covers the fundamentals well.

創建者 SOUVIK D

Nov 05, 2018

awesome course. 100% recommended for beginners. I just loved it. Thanks to Coursera for providing such courses.

創建者 Muhammad A

Nov 05, 2018

This course is very much helpful for me to get understanding about python, deep learning, neural networks and the things like this. Thank you so much for help and guide me a lot.

創建者 Kripakaran R

Nov 10, 2018

Some of the informations are half baked, hope to see them in future classes.

創建者 Ankita M

Nov 20, 2018

great content and good exercises

創建者 Pavan B

Nov 20, 2018

What an amazing way to start the course. After first module, we know a little bit about every specialization topic. Great material.

創建者 José A S P

Oct 19, 2016

awesome! fantastic! outstanding!

創建者 Xiuyuan C

Jan 16, 2017

Definitely a good choice for entering the area of machine learning

創建者 Younghwan K

Dec 24, 2016

Ex

創建者 Jonathan C

Oct 26, 2017

learned some really amazing things in this course!

創建者 Nand B P

Jun 27, 2017

Best Introductory course for Machine Learning for beginners as it shows an abstract yet hands-on type of approach to cover all the important topics related to the ML concepts.

創建者 Navinkumar

Feb 09, 2017

Its goo

創建者 LEPAGE

Mar 14, 2017

As a statistician, Excellent introduction to ML!! I can't wait doing the other specializations (regression almost done, clustering and classification on-going

創建者 Vinod T G

Aug 14, 2017

Excellent course for folks who need to understand ML and how it can be used in an array of day to day applications

創建者 Mark h

Jul 07, 2017

very helpful for a totally new learner

創建者 任晨熙

Jan 28, 2017

很专业,正在学习

創建者 Sourav K R

Sep 09, 2017

Best courser for machine learning basic understanding.

創建者 Shivam A

May 10, 2017

Amazing for beginners.

創建者 Massimiliano C

Jul 22, 2017

very good course, complex topics explained through intuitive and practical use cases, in short time provides an overview on Machine Learning and gives the student the chance to go in depth if necessary.

I liked it very much.

創建者 TAMERA Y

May 16, 2017

Really enjoyed the course. This was a great course for someone who has never taken Machine Learning Or Python. I found the Graphlab Note book very helpful. Plus I loved having the opportunity to write the code / algorithms with Carlos. Great Co

創建者 Adam D

Jan 30, 2018

It is great course for beginners. Now I have basic knowledge about machine learning and I can go forward with next courses. Thanks.

創建者 Nithya B

Mar 15, 2018

useful

創建者 Vishal A

Nov 29, 2017

They have used graphlab instead of using standard library. But overall good course.

If the student can submit quiz question without enrolling then it would be a big plus.

創建者 alireza r

May 29, 2017

The best instructor ever

創建者 Jaime M

Oct 18, 2017

This brief introduction to ML techniques is really awesome. I have learned the intuition behind each ML algorithm.