Chevron Left
Machine Learning Foundations: A Case Study Approach に戻る

ワシントン大学(University of Washington) による Machine Learning Foundations: A Case Study Approach の受講者のレビューおよびフィードバック

4.6
13,053件の評価
3,105件のレビュー

コースについて

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....

人気のレビュー

BL

2016年10月16日

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

PM

2019年8月18日

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.

フィルター:

Machine Learning Foundations: A Case Study Approach: 2901 - 2925 / 3,032 レビュー

by Seong H M

2021年9月25日

Problems and files and videos not updated base on the changes

by Felipe A S S

2021年1月23日

The libraries used on the course are a little bit unsopported

by Nadeem B

2021年7月27日

Concepts and explanation is great but using outdated modules

by Atharv J

2020年9月14日

The course should be taught in pandas rather than graphlab.

by Max F

2016年1月10日

Not a bad course, but extremely basic. Was expecting more.

by Adrien L

2017年2月2日

No good without the missing course and capstone projects

by Aleksey C

2016年12月11日

....mmm fsdfg gsgsd sgsdgsdg sdsdgsdg ggsgsd sgdsdgsg

by HITESH D

2020年6月15日

Installing software parts gave me a very hard time.

by Bastian M P

2016年6月1日

Could go a little more in detail on the algorithms.

by Jaime O

2017年1月31日

The Deep Learning part needs to be improved

by Chen S

2015年10月26日

Very basic, the quizzes aren't clear enough

by Li-Pu C

2020年10月29日

A little bit too easy, but good for rookie

by Harsh V K

2019年5月8日

Should use Python 3 instead of Python 2

by Phú L L H

2021年4月3日

sofware guideline is quiet useless

by Yu G

2021年2月7日

No idea what to write here...

by Jorge C

2016年5月29日

It is a very simple course.

by Ricardo S

2021年8月10日

Feels a bit out dated

by RAGHUPATHI R R

2020年6月25日

Good for knowledge

by Fredick A S

2018年4月6日

No python..

by Nasimul J F

2020年8月16日

THANK YOU.

by Kai C

2015年11月24日

Too easy

by Geetha G

2021年8月16日

good

by Anshu R

2020年9月12日

good

by sakthivel

2020年9月4日

Good

by Shahriar K S

2020年8月23日

cool