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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

4.6
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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：

1026 - Machine Learning Foundations: A Case Study Approach 的 1050 个评论（共 3,162 个）

创建者 Sharad J

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Mar 23, 2019

The ML concept is explained with use cases and demonstrated with python programs which

创建者 Amogh B

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Feb 22, 2019

Its really wonderful course to get the familiarise with the basics of Machine Learning

创建者 Ahmed T

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Oct 5, 2017

The best thing is that it shows how machine learning is applied in real world examples

创建者 Manoj B (

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Jun 10, 2017

I love this. I suppose the love word accounts for the highest score:P Great ML course.

创建者 Ayham Z

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Oct 5, 2016

An excellent introduction to the field with well-designed exercises and hands on labs.

创建者 Premnath K N

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Feb 6, 2016

very good ML overview course with practicals (in 4 weeks) I have come across so far...

创建者 Joydeep G

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Nov 20, 2015

I am yet to complete this course but so far I have completed, the course is excellent!

创建者 Antonio P L

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Nov 6, 2015

Very complete introduction course to Machine Learning. Both teachers are really funny.

创建者 Nouman I

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Sep 16, 2022

Thank u so much for this course.. This course very helpful for me in my carrier goal.

创建者 Бойко Х А

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May 31, 2022

This is a very useful course with good material and clear explanations from teachers.

创建者 sudip t

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Sep 17, 2020

Really nice course to start if you really don't know anything about machine learning.

创建者 Kai S

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Jun 3, 2019

Nice course with alot of examples from which you can learn how the turi engine works.

创建者 Lahiru H

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Mar 4, 2019

great course content to get started with machine learning and also for deep learning.

创建者 何益帆

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Feb 26, 2018

It is a perfect course about ML,especially for the students without much backgrounds.

创建者 Paul M

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Feb 4, 2018

I like the case study approach. Much easier and more relevant way to learn the topic.

创建者 Arthur Z

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Feb 24, 2017

A really nice appetizer to begin this specialization. The professors are excellent.

创建者 Jifu Z

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Jul 22, 2016

Good class, But it would be much better if the quiz is open to those who doesn't pay.

创建者 Deepak G

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Jun 23, 2016

I have tried several introductory Machine Learning Courses. This is the best of them.

创建者 Ganesan P

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Jun 5, 2016

it was a good introduction to concepts. would recommend the course to beginners in ML

创建者 Abhijit S

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Feb 8, 2016

This course is one of the best MOOC i have attended, best approach and nice hands on.

创建者 Robert R

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Jan 5, 2016

Great way to provide a conceptual overview before getting bogged down in the details!

创建者 Yifei L

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Dec 3, 2015

Very clear and detailed introduction with practice!

Looking forward to coming courses!

创建者 Prachuriya M

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Nov 18, 2020

Very nice Course for beginners to get started, loved all examples and learned a lot.

创建者 Ribhu G

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May 23, 2020

Very wonderfully taught and it was so lucid to learn from Carlos and Emily. Thanks!!

创建者 Yanyan J

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Jun 20, 2018

Good overview, well structured, covers good breadth of topics in product management.