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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：

1401 - Machine Learning Foundations: A Case Study Approach 的 1425 个评论（共 3,162 个）

创建者 Vinit J

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Mar 2, 2018

It was great experience to go through the course.

创建者 Lumo W

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Oct 8, 2017

A very good view of the field of machine learning

创建者 Tariq H

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Sep 9, 2017

A structured course on basics of machine learning

创建者 Blaine T

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Jul 30, 2017

Very good lectures, good pace, engaging lecturers

创建者 Qiongge L

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Dec 16, 2016

This is an extremely practical and useful course!

创建者 Shantanu K

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Aug 26, 2016

Really good learning path. well chalked out couse

创建者 Rui W

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Jun 7, 2016

A good guide to practice machine learning system.

创建者 John L

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Mar 27, 2016

good course for data scientist, learn a lot in it

创建者 Anurag K

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Aug 25, 2020

Best Course to get started with Machine Learning

创建者 SOURAV D S

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Aug 4, 2020

Best course i have ever done of machine learning

创建者 Eugene P

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Jun 12, 2020

Great foundational concepts of machine learning.

创建者 Will

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Apr 22, 2020

教學詳細，而且題材實用且有趣。缺點是教學影片有點陳舊，用的方式和實際操作上有出入，但是瑕不掩瑜。

创建者 Md. R K

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Dec 14, 2018

Awesome course to get started to ML with Python.

创建者 Muhammad N

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Oct 24, 2017

It was an amazing experience. highly recommended

创建者 Ai-Hsin L

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Oct 23, 2017

I did learn the concepts and enjoyed the course.

创建者 Kouassi K J

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Jun 5, 2017

Very practical Machine Learning using GraphLab !

创建者 Valéry V

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Mar 7, 2017

Awesome course ! Loved the case study approach !

创建者 zjy8820

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Dec 18, 2016

The course is wonderful. I learn a lot about ML.

创建者 Nitin K

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Aug 30, 2016

A very exciting introduction to Machine Learning

创建者 VINOJ J H

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Jun 30, 2016

Easy and simple... perfectly explained.

Thank you

创建者 Vitali M

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May 19, 2016

Instructors are presenting this topic very well.

创建者 Jie G

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Jan 12, 2016

Very original and creative approach of training!

创建者 Catalina P

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Dec 23, 2015

Great overview of the power of Machine Learning.

创建者 Raimondas Z

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Nov 17, 2015

Great overview of the field of machine learning.

创建者 siya a

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Apr 9, 2025

i learned i lot of think with you thanks a lot