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Machine Learning Foundations: A Case Study Approach(으)로 돌아가기

워싱턴 대학교의 Machine Learning Foundations: A Case Study Approach 학습자 리뷰 및 피드백

4.6
별점
12,889개의 평가
•
3,070개의 리뷰

강좌 소개

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....

최상위 리뷰

PM
2019년 8월 18일

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
2016년 10월 16일

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

필터링 기준:

Machine Learning Foundations: A Case Study Approach의 2,992개 리뷰 중 2576~2600

교육 기관: James S

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2016년 10월 7일

dont really like the dependency with dato sframe or prop tools

교육 기관: Paolo s

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2016년 10월 5일

It would be perfect if also cover a section on spark an mllib.

교육 기관: Marco J

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2022년 1월 14일

Klasse Kurs, nur bei Graphlab vs. Turicreate etwas verwirrend

교육 기관: yangxiaoqi

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2018년 1월 29일

可以在刚入门机器学习时候听一听这门课，能够知道机器学习在实际中如何应用的。但是要深入机器学习还是应当学学里面的数学知识的。

교육 기관: Johan M

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2016년 6월 9일

Excellent course. Looking forward to the rest of the courses.

교육 기관: David B

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2015년 12월 4일

A nice introduction to the various machine learning concepts.

교육 기관: P V P

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2020년 6월 28일

its very basic just used a python module in the whole period

교육 기관: SOWMYA P

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2020년 6월 3일

i understood many more in this course i understood properly.

교육 기관: kumar p

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2015년 10월 15일

Nice for learners who want to jump start in machine learning

교육 기관: Swapnil A

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2020년 9월 6일

Would have been a 5 start course if the content was updated

교육 기관: Bingyue Z

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2020년 10월 9일

A bit superficial, better to merge with following courses

교육 기관: C M R

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2020년 8월 4일

VERY GOOD TEACHING AND GREAT INFORMATION IN THE LECTURES.

교육 기관: Gopisetty k p

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2016년 6월 24일

This is very good material for machine learning starters.

교육 기관: VJ

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2015년 11월 16일

good material. good presentation skills of the instructor

교육 기관: Le D N

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2021년 7월 11일

E​verything is good except the library used in Course ;(

교육 기관: João G B A V

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2017년 12월 4일

Muito bom, os exemplos onlines poderiam ser interativos.

교육 기관: Milan C

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2017년 10월 20일

Nice overview about different Machine Learning concepts.

교육 기관: Jjclof

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2016년 10월 17일

Well-made.

Good teachers.

But a bit too simple. 4/5

Thanks.

교육 기관: Markus M

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2016년 2월 10일

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

교육 기관: Dai W

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2016년 1월 3일

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

교육 기관: Lena M

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2015년 12월 22일

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

교육 기관: DARSHI A

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2020년 7월 12일

It is a good course and proffesors are explaining cool.

교육 기관: Andrew G L

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2017년 8월 4일

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

교육 기관: Wangjun

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2016년 12월 29일

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

교육 기관: SUHARIKA V

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2021년 11월 26일

the experiance is good and assignments are interesting

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