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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
12,854개의 평가
3,062개의 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 2,984개 리뷰 중 2551~2575

교육 기관: Jacques J

2017년 9월 8일

Was so good to get some exposure to the different areas of application

교육 기관: Sandeep K S

2016년 1월 5일

Good course with the overview of different machine learning techniques

교육 기관: fredfoucart

2015년 12월 10일

A good global introduction and simply explained. With fun as well....

교육 기관: Ali N

2015년 11월 13일

Really great course content, but the assignments could become better.

교육 기관: Harshal M

2017년 8월 18일

Great Course!! Helped me learning new things. Great way of teaching.

교육 기관: federico w

2016년 4월 4일

Great course. Super case driven approach, professors are very clear.

교육 기관: أحمد ج

2019년 8월 6일

wish to use more common ML libraries, but the content was very good

교육 기관: Kushvanth R

2021년 1월 21일

All is well, but instructors could have used more common libraries

교육 기관: Bruno G E

2016년 4월 17일

Just the tip of the iceberg, you'll want to dive in on each topic.

교육 기관: Tina W

2019년 4월 2일

Good Intro course and familiarize yourself with iPython notebook.

교육 기관: sami j

2017년 12월 26일

pretty good - wish there was more info on the internals to models

교육 기관: Alexander P

2016년 10월 17일

Interesting intro class. Will very much leave you wanting more.

교육 기관: Paul B

2016년 7월 21일

Good introduction, the python quick description is short enough.

교육 기관: Pramod J

2020년 10월 17일

Contents are up to mark and very helpful in learning the course

교육 기관: Kunal B Y

2020년 6월 25일

it will be better if the videos are also updated to turi create

교육 기관: Mandar G

2020년 5월 31일

Both the Instructors were very good at providing the knowledge!

교육 기관: Anurag U

2016년 11월 2일

Its a good course for those who want to learn ML with Graph Lab

교육 기관: Ahmad B E

2017년 12월 5일

Good course for ML except it depends a lot on GraphLab Create.

교육 기관: James S

2016년 10월 7일

dont really like the dependency with dato sframe or prop tools

교육 기관: Paolo s

2016년 10월 5일

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

교육 기관: Marco J

2022년 1월 14일

Klasse Kurs, nur bei Graphlab vs. Turicreate etwas verwirrend

교육 기관: yangxiaoqi

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

2016년 6월 9일

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

교육 기관: David B

2015년 12월 4일

A nice introduction to the various machine learning concepts.

교육 기관: P V P

2020년 6월 28일

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