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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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13,543 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

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.

SS

May 18, 2020

The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.

筛选依据：

1276 - Machine Learning Foundations: A Case Study Approach 的 1300 个评论（共 3,159 个）

创建者 SHAROD R C

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Mar 18, 2016

A really awesome course taught in a new and scientific way !!

创建者 Ramanshu R

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Nov 11, 2020

amazing and intresting impressive teaching i like it so much

创建者 Bommareddy K r

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Jan 8, 2020

very useful for everyone how wants to learn machine learning

创建者 Jonathan K

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Jan 21, 2019

Very nice, will continue with the rest of the specialisation

创建者 Carlos T

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Jul 30, 2017

Very practical approach to use in real business applications

创建者 Douglas M

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Jan 13, 2017

Great material. Good instructors with a practical approach.

创建者 Liru H (

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Jun 27, 2016

it is an amazing course and a good gate for Machine Learning

创建者 Philip G

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Apr 15, 2016

very well made! even introduces python basics for beginners.

创建者 Kaushal P

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Jun 4, 2020

good, but should focus with pandas and other libraries too.

创建者 Wang R

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Mar 21, 2020

Good explanation and case examples as an intro-level course

创建者 Zhukov A

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Jul 7, 2019

This very cool course for introduction in Machine Learning.

创建者 Yihai W

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Feb 7, 2018

Great introduction ML course. The case approach is awesome.

创建者 Siddharth C

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Jul 29, 2016

Excellent course with great instructors and course content.

创建者 Deleted A

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Jul 14, 2016

Great introduction to different machine learning techniques

创建者 Han H

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Jan 4, 2016

Very comprehensive and hands-on course for machine learning

创建者 Alisson A L

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Feb 26, 2021

Awesome! Very helpfull to learn machine learning concepts!

创建者 Sabeena M

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May 16, 2020

It was a great experience learning from Coursera....Thanks

创建者 amar

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Nov 29, 2019

Nice lectures and weekly assignments, great place to work.

创建者 Vinay K

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Aug 20, 2019

Instead of using graphlab it would be better to use pandas

创建者 Lukasz W

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Jan 1, 2019

Very good as an introduction to the further learning of ML

创建者 Alberto S

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Apr 22, 2018

Great course for a beginning in the Machine Learning World

创建者 Cheikh T K

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Feb 22, 2018

Very likely.

Have learned a lot. Thanks to all of teachers.

创建者 Salvador P

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Sep 15, 2017

Muy buenos conocimientos y es un enfoque laboral requerido

创建者 Daniel E S

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Nov 14, 2016

Very good introductory course. I also enjoyed the bloopers

创建者 Spark G

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Jun 10, 2016

very practical, both of the instructors are truly awesome.