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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
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13,084件の評価

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

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.

The forums and discussions were really useful and helpful while doing the assignments.

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

フィルター：

Machine Learning Foundations: A Case Study Approach： 3026 - 3043 / 3,043 レビュー

by Arpit S

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2020年5月22日

Improve the quality of quizes. Need to focus more on algorithm part.

by Pratick B

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2021年8月8日

I​nstallation of Sforce and turi was not shown adequately enough.

by Mohamed M

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2021年9月28日

import turicreate is hard to install and class based on it

by Eunyoung C

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2020年8月29日

This course could be better to use general python library.

by Christian C

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2021年6月5日

El curso es bueno pero esta completamente desactualizado

by Sunita b l

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2020年7月4日

Provide the good notes and video so all concept clear.

by Melissa F

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2021年8月2日

cannot get the tools installed to do any of the work.

by Nguyen K D

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2020年6月18日

Coursera Scam Auto Subcription. Free Fuckers

by Gencho Z

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2022年7月3日

Wors ML course I've had on Coursera so far.

by Jeni

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2020年4月17日

Instructional videos were unclear.

by MD D I

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2020年6月26日

I want to un enroll this course

by ABHISHEK S

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2020年6月18日

Not a good course to study

by jazz p

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2022年7月23日

Poor version support

by Jorge L G A

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2020年9月23日

no esta en español

by fuzhi z

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2020年12月8日

Not recommend

by Jijo J

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2021年4月25日

Outdated

by Bhavya C

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2021年3月18日

worst

by ABOORVA M S

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2020年5月24日

worst

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