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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

4.6
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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

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.

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：

3126 - Machine Learning Foundations: A Case Study Approach 的 3150 个评论（共 3,162 个）

创建者 Osamudiamen I

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Apr 15, 2022

Teaching with an unfamiliar tool that is so difficult in installing i.e Sframe, Graphlab and turic create. You should first start with the process of installation before starting your teaching. Wasted resources.

创建者 Kyle D

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Jul 9, 2020

The software was so difficult to install. It did not seem worth it to learn a completely new way. Unfortunately, I dropped it because the case study approach looked interesting.

创建者 Ruth P

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Aug 20, 2021

Couldn't even get started. Very disappointed that the links to the software required are so out of date and there is no help. Want to un-enroll but can't do that either.

创建者 Tasneem B

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Oct 20, 2022

The instructions for setup of turicreate were lacking.

No information was provided on setup of GraphLab Create, which prevents course completion.

创建者 Bharath K V

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Dec 13, 2021

The course is very very confusing. Old material without updating to the latest format. No clear instructions. Half baked.

创建者 Kunal V

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Sep 21, 2020

its very very hard to setup jupyter notebbok and installing turicreate ,also takes a lot of efffort in practical quiz

创建者 Marius M

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Jul 8, 2020

Unable to install turicreate. No troubleshooting instructions, only a link to a blog post that offers little help.

创建者 Florea G A

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Oct 11, 2020

Turicreate installation is a hot stone. for that reason I'm not going to pursue this specialization.

创建者 Anoop B

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Dec 2, 2020

Terrible course. Poor presentation, unnecessary talks, clumsy video and outdated content.

创建者 James S

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Jul 18, 2023

This course is outdated. It relies on software packages that are no longer supported.

创建者 andrew r

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Nov 25, 2020

A waste of time trying to setup an obsolete environment that is no longer supported.

创建者 Mahsima E

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Aug 15, 2024

this code is using old libraries and no one should buy it!!!!!!!!!!!!!!!!!!!!!!!!!

创建者 Cynthia N C

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Oct 5, 2023

Course needs to be updated. Required software is no longer available.

创建者 Sudheesh R S

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Jul 11, 2020

No proper directions as to how to work on libraries to be installed.

创建者 Arpit S

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May 22, 2020

Improve the quality of quizes. Need to focus more on algorithm part.

创建者 Surya U

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Oct 20, 2025

TuriCreate is no longer being developed. It's a public archive.

创建者 Ahmad Z S

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Oct 12, 2023

Very old course. Some of the materials aren't working either.

创建者 Bo W

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Jul 14, 2023

Outdated Course. Should teach Pandas instead of TuriCreate

创建者 Mohamed M

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Sep 27, 2021

import turicreate is hard to install and class based on it

创建者 Eunyoung C

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Aug 28, 2020

This course could be better to use general python library.

创建者 Steve C

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Jan 30, 2026

Very old. Frustrating and shouldn't be listed any longer

创建者 Cristian C G

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Jun 4, 2021

El curso es bueno pero esta completamente desactualizado

创建者 Sunita b l

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Jul 4, 2020

Provide the good notes and video so all concept clear.

创建者 Melissa F

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Aug 2, 2021

cannot get the tools installed to do any of the work.