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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.

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.

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1126 - Machine Learning Foundations: A Case Study Approach 的 1150 个评论（共 3,162 个）

创建者 Amol K G

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Aug 23, 2020

Need to upgrade python 3 and updated libraries. Rest of the other all good.

创建者 Erick V

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Mar 2, 2019

Excelente curso, te da una visión general de todo lo que puedes hacer en ML

创建者 Rajeev N

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Apr 30, 2018

Excellent foundation on all aspects, hands on coding exercise is exciting.

创建者 Matthew T

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Dec 30, 2016

Really interesting material thought very enthusiastically. Enjoyed it loads

创建者 Siddharth S

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Aug 16, 2016

Excellent introduction to the promise and applications of Machine Learning.

创建者 Shiva K Y

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Aug 14, 2016

Course is outstanding except it uses a paid library called graphlab create.

创建者 Ranfi J C d A

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Apr 24, 2016

Un curso perfecto para introducirte en el mundo del aprendizaje automático.

创建者 Alexandra P

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Jan 9, 2016

great introduction to machine learning with real world application examples

创建者 Ritish M

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May 5, 2022

extremely helpful course for knowledge perspective and easy to understand.

创建者 SUBBA R D

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Jun 11, 2020

Course contents very nicely framed and especially useful for the beginners

创建者 Hunny S

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May 23, 2020

This is such an amazing course of machine learning I ever had , love it!!

创建者 ZhiZhong C

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Aug 23, 2019

Give me overview of machine learnign and where we can apply the technology

创建者 Nowheer S

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Jul 27, 2019

Good Starting point for freshers who got interest towards Machine Learning

创建者 Veer A S

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Mar 14, 2018

An amazing course to get an understanding of Machine Learning techniques/

创建者 DaeYeong K

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Aug 23, 2017

Great for essential knowleage and do some basic programmings for AI and ML

创建者 Maeva V

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Aug 9, 2016

Very clear and accessible course, great introduction to Machine Learning !

创建者 Deepak M

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Aug 1, 2016

very useful high level overview about key capabilities of machine learning

创建者 张裕

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Apr 16, 2016

A Great Course.The teachers are funny, and I have a pretty overview of ML.

创建者 Mohammad A K

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Mar 12, 2016

Great one. It is what the name implies! Really enjoy the course very much.

创建者 Jacil B

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Oct 27, 2020

Muy buen curso y fácil de seguir por las explicaciones y ejemplos que dan

创建者 Vinoth S U

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Jun 11, 2020

awesome, its great journey to learn machine learning here thanks coursera

创建者 Hritik K S

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Feb 24, 2019

I learned the understanding that how we approach Machine Learning models.

创建者 Manu S

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Jan 2, 2019

Excellent course. Explained all the ML concepts in detailed and easy way.

创建者 Mohamed E M E

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Feb 21, 2018

Very well course that help beginners to step into Machine Learning field.

创建者 Dhruvil S

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Jan 31, 2018

Nice course if you are not aware about basic Python for machine learning.