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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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13,550 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：

1251 - Machine Learning Foundations: A Case Study Approach 的 1275 个评论（共 3,162 个）

创建者 Mariano

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Feb 29, 2020

very interesting course, was my first work with ML with python.

创建者 Dilip B M

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Sep 15, 2019

ALL THE TOPICS SUFFICIENTLY EXPLAINED WITH APPROPRIATE EXAMPLES

创建者 Swathy M

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Aug 1, 2019

Started new job in Machine Learning after completing the course

创建者 Jaden

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Jun 1, 2019

Case Studies are great. Please more application based learning.

创建者 Leandro L R

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Mar 31, 2018

Very interesting course. Carlos and Emily are great professors.

创建者 Irfan S B

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Sep 13, 2017

Good couse for beginners. But lot of unnecessary conversations.

创建者 Rama K R N R G

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Aug 14, 2017

Excellent overview of ML. Good foundation for those pursuing ML

创建者 RAMESH R

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May 25, 2017

Great course for beginners who wants to start on ML foundation.

创建者 Prasanna N

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Aug 16, 2016

Very easy to understand and will be a very good first course...

创建者 GAURAV B

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May 27, 2016

Simplistic approach taken to make understand a complex subject.

创建者 Omar S

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Feb 28, 2016

Excellent course! I loved it! Good overview on machine learning

创建者 Eric N

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Oct 11, 2020

Excellent online teaching with clear and concise explanations!

创建者 Kishor K

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May 30, 2020

Amazing platform for learning and the instructors are experts.

创建者 Caio M

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May 14, 2020

Muito bom! Base sólida em algoritmos de aprendizado de máquina

创建者 Joel R L

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Apr 18, 2020

Excelente, muy bien explicado. Un gran desafió en la semana 06

创建者 Sachin V M

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Sep 29, 2019

Awesome experience with various methods of ML, it was all fun.

创建者 Aries F

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Mar 5, 2019

Very easy to understand, code are very simple and to the point

创建者 Chao L

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Mar 3, 2019

It is good class for people want to ML and start from scratch

创建者 J K

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Dec 12, 2018

Very comprehensive and hand-on fashioned course, recommended!

创建者 Cristian D E O

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Dec 5, 2017

Me ha parecido muy bueno para aprender sobre machine learning

创建者 Avay D

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Oct 6, 2017

Really nice course for machine learning and python beginners.

创建者 Mario U

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Jun 3, 2017

Board good topics of Machine Learning and it's very practical

创建者 Jorge O

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Apr 14, 2017

Easy to follow up. Very didactic!

Congratulations and thanks!

创建者 Deleted A

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Mar 18, 2017

It is easily the best course on machine learning I ever took.

创建者 Durgaprasad N

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Aug 9, 2016

A very nice introduction to fundamentals of Machine Learning.