Chevron Left
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
星
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.

RH

Jun 8, 2017

I felt this course did a good job introducing the student to Machine Learning. The examples and hands on assignments brought the concepts home. I was able to use the knowledge immediately at work.

筛选依据：

1151 - Machine Learning Foundations: A Case Study Approach 的 1175 个评论（共 3,162 个）

创建者 Ayush K G

•

Sep 1, 2017

VERY GOOD STRUCTURED COURSE TO UNDERSTAND THE BASICS IF MACHINE LEARNING.

创建者 Harshitha C

•

May 1, 2017

A very comprehensive course taught in a very easy and interesting manner!

创建者 Manu D

•

Feb 8, 2016

I would have liked promotion of usage of more mainstream tool like SciKit

创建者 Edmilson F d S

•

Dec 13, 2015

Excellent!! This course gives a nice introduction about Machine Learning.

创建者 Ellen Z

•

Sep 30, 2020

Very intuitive explanations. Good overview of machine learning concepts.

创建者 Abhishikta U

•

Jun 2, 2020

Excellent! I learned a lot. Thanks for the instructors. They were great.

创建者 NASRIN J

•

Oct 5, 2019

It is really helpful. Thanks a lot coursera for giving such opportunity.

创建者 Shuang D

•

May 22, 2018

very great ML introductory course! I really like the case-study approach

创建者 Rigoberto R

•

Jul 1, 2017

Very nice, concise and useful. General overview of major topics covered.

创建者 Oluseyi

•

Jun 19, 2017

I enjoyed the occasional humor that Emily and Carlos add to the lecture.

创建者 Rodrigo P

•

Dec 29, 2016

Excelente! Curso muito didático e com um conteúdo muito bem equilibrado.

创建者 Otniel P

•

Jul 28, 2016

This course is a wonderful introduction to machine learning applications

创建者 Gerardo G

•

Mar 14, 2016

Excellent introduction course.

I'm now enrolling on the regression course

创建者 Joao C

•

Feb 5, 2016

Great course on ML. All the important foundations explained really well.

创建者 Mohnish P

•

Jan 14, 2016

An excellent introductory course. Emily are Carlos are awesome teachers.

创建者 Jainil S P

•

Dec 25, 2020

it was real nice conepts of machine learning and I enjoyed it very much

创建者 Erick N S L

•

Sep 13, 2020

Excelente curso, se aprenden muy buenas cosas aplicadas en casos reales

创建者 Vikas K

•

Aug 21, 2020

It is amazing course explanation of linear regression is the best part.

创建者 Ganesh A G

•

Jun 11, 2018

Course is good but it will be better if it takes a more steady approach

创建者 Laerti P

•

Nov 11, 2017

Great intro. I think that deep learning week could be improved further.

创建者 cassandravictoria i

•

Aug 16, 2017

will certainly continue on with the rest of the series. so interesting!

创建者 Alejandro M

•

May 1, 2017

Very good approach to explain the general concepts of Machine Learning.

创建者 Nisha D

•

Mar 10, 2017

I really enjoyed this class! It was well taught and easy to understand.

创建者 Bharath C

•

Feb 13, 2017

This course gives the kick start needed to start a data science career.

创建者 Guomao X

•

Sep 13, 2016

cool, the lectures are nice. Personally I like the instructors' style:)