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返回到 Machine Learning Foundations: A Case Study Approach

学生对 University of Washington 提供的 Machine Learning Foundations: A Case Study Approach 的评价和反馈

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13,551 个评分

课程概述

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....

热门审阅

AH

Mar 27, 2022

very nice course.If you have basic knowledge of python datastructure then this course is best to start data science.All contents are beginner friendly which makes this course easily understandable.

RM

Feb 2, 2022

I was very disappointed with the exclusion of the final courses and the capstone project. The most interesting part of specialization no longer exists and no plausible justification has been given.

筛选依据：

1226 - Machine Learning Foundations: A Case Study Approach 的 1250 个评论（共 3,162 个）

创建者 Prathamesh A

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Jul 20, 2020

Overall nice learning approach towards basics of machine learning

创建者 Yevhenii S

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Jun 9, 2019

Very good course with solid coverage! BIG Thanks to the authors !

创建者 Neeraj S

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Jun 8, 2018

I enjoyed the way the course was structured and examples provided

创建者 Liwei L

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May 1, 2018

could be even better with a more comprehensive Python intro added

创建者 Dongliang Z

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Jan 24, 2018

Excellent, really fun. I am going to the next course now. Thanks!

创建者 Andrey N

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Jul 30, 2017

Great course! It can be even better if taught using scikit-learn.

创建者 Amit K

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Aug 16, 2016

Sets a good foundation for getting started with Machine Learning.

创建者 Ahmed M M

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Jun 16, 2016

awesome course , i loved machine learning because of this course.

创建者 Pasquale G

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Feb 18, 2016

It's a great course. The adoption of ipython notebook is amazing

创建者 Suresh A

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Feb 6, 2016

The presentation, the math involved and exercises were excellent.

创建者 M L

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Nov 25, 2015

Absolutely amazing! The lecturers have great humor and knowledge.

创建者 Anil k p

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Oct 9, 2020

Must preferable for everyone having interest in Machine learning

创建者 Dr. A K S

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Sep 24, 2020

Fruitful videos it is very much useful for future research work.

创建者 Pakomius Y N

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Sep 22, 2020

Pembelajaran mesin sangat bermanfaat dengan melalui studi kasus.

创建者 Yesid C C

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Jul 27, 2020

I really liked this course, it offers a nice introduction to ML.

创建者 Borys B

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Jan 8, 2020

Easy to understand and learn ML thanks to this course.

Thumbs up!

创建者 Trilok R R

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Oct 20, 2019

Amazing course with hands on approach. Really enhanced my skills

创建者 Rakesha M

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Apr 6, 2018

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创建者 Maksim H

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Nov 17, 2017

I am really grateful for the effort to put this course together!

创建者 Sophie

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Aug 1, 2017

Really great lessons to improve the concept of machine learning!

创建者 Dragana K

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Jul 11, 2017

Very informative and easy to follow - lovely introduction course

创建者 Deividas K

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Jan 8, 2017

Great introduction to machine learning and its various concepts.

创建者 Roman R

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Nov 9, 2016

It's easy to understand even if you're beginner. Very inspiring!

创建者 christiaan r

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Jul 20, 2020

Great Introduction to ML, really enjoyed the course. Thank you!

创建者 Swapna.G

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Jul 12, 2020

its superb course learnt a lot and used for my research purpose