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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：

1301 - Machine Learning Foundations: A Case Study Approach 的 1325 个评论（共 3,162 个）

创建者 Spark G

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Jun 10, 2016

very practical, both of the instructors are truly awesome.

创建者 Cheng C

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Jan 24, 2016

Amazing introduction course for Machine Learning beginner!

创建者 藍元宗 ( L

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Oct 17, 2015

Very interesting and informative course. Thanks, teachers.

创建者 Tauhedur R

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Dec 10, 2024

It’s an amazing way to get knowledge of machine learning.

创建者 Steven D

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Mar 19, 2023

Well structured, well presented.

Great introduction to ML!

创建者 Jacob C

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May 26, 2022

Best course I've ever done online. Loved the instructors.

创建者 zixi l

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Feb 27, 2020

Very clear instructions and helpful assignment! Thank you

创建者 Abhishek S

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Jan 10, 2020

instructor was awesome the way that explain was very easy

创建者 Chintamani K

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Sep 13, 2017

Great course to build a solid machine learning foundation

创建者 Sushil B

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Sep 8, 2016

A perfect kick start to your journey on Machine Learning!

创建者 Namit K

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Apr 25, 2016

excellent introduction and practical application domains.

创建者 Rahul J

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Dec 21, 2015

Well planned, Interesting, Logical, Practical Assignments

创建者 Shivam A

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Apr 20, 2021

Good course every should have try these types of courses

创建者 YERRA V

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Sep 13, 2020

its good to understand the lecture and clear explanation

创建者 Jhon C R

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Aug 30, 2020

very interesting topics covered in the course. Thank you

创建者 Jatin V p

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May 8, 2020

excellent teaching skills by both of the professors!!!!

创建者 Akash R

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Apr 13, 2020

Very Interesting and well explained, absolutely loved it

创建者 Shalini G

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Dec 3, 2018

Nice course to understand the basics of Machine Learning

创建者 Le N P

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Jul 16, 2018

thanks instructorsthis is a great course for learning ML

创建者 XIAO N (

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Jul 13, 2018

I like the approach and this is a relatively easy module

创建者 Kiran B M

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Mar 6, 2018

Awesome course with great practical knowledge. Thank you

创建者 James N

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Nov 13, 2017

great introduction to machine learning with fun examples

创建者 Risong N

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Nov 22, 2016

Well organized. Very practical by using iPython Notebook

创建者 Jignesh K

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Aug 29, 2016

This is a great introductory course on Machine Learning.

创建者 Amit P

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Jun 7, 2016

Great Course..Lots to Learn. Thanks to Emily and Carlos.