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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
10,011 個評分
2,402 條評論

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....

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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.

BL

Oct 17, 2016

Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much

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2051 - 机器学习基础:案例研究 的 2075 個評論(共 2,320 個)

創建者 VJ

Nov 16, 2015

good material. good presentation skills of the instructor

創建者 João G B A V

Dec 04, 2017

Muito bom, os exemplos onlines poderiam ser interativos.

創建者 Milan C

Oct 20, 2017

Nice overview about different Machine Learning concepts.

創建者 Jjclof

Oct 17, 2016

Well-made.

Good teachers.

But a bit too simple. 4/5

Thanks.

創建者 Markus M

Feb 10, 2016

Good structure, but maybe a bit too basic and slow pace.

創建者 Dai W

Jan 03, 2016

I cannot review my completed homework. It's very boring.

創建者 Lena M

Dec 22, 2015

Loved the course, the teachers, the case study approach.

創建者 Andrew G L

Aug 05, 2017

Good introduction. Don't expect more than that though.

創建者 Wangjun

Dec 29, 2016

This course is very good.Thankyou for all the teachers.

創建者 Alain C

Feb 15, 2019

Technical setup is not easy, but great business cases.

創建者 SATYA P A

Apr 29, 2020

its was very useful to learn about machine learning !

創建者 Rajeev R

Oct 01, 2019

wonderful experience. It's like doing a live project.

創建者 Abdulrahman M A K

Jul 10, 2019

Awesome instructors and great knowledge and practices

創建者 Divya v M

May 29, 2016

Great overview and broad foundation of all techniques

創建者 Jorge S N

Apr 09, 2016

El más intuitivo curso de ML que he visto en Coursera

創建者 Bhakthavatsala R

Jun 16, 2018

Interactive and very interesting. good for beginners

創建者 Fenjin W

Apr 15, 2016

Great course! Hope the slides gets better annotated.

創建者 Yagyansh S K

Dec 03, 2016

Awesome Teaching Technique Used! Kudos To The Team!

創建者 Avinash P M

Dec 13, 2016

Assignments could have been little more difficult.

創建者 吴青

Dec 06, 2017

didn't reach my expectation but still quite good.

創建者 Albert Z

Feb 06, 2016

Hands on should have been more involved/dificult.

創建者 Gopinath T

May 14, 2019

Well structured course with detailed explanation

創建者 A S P

Jan 16, 2018

A bit light on details but a great first course!

創建者 Qishen S

May 25, 2017

A good overview of ML and tutorial for graphlab.

創建者 Harsh R

May 18, 2020

The course is little bit outdated.

please update