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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
13,531 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

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.

MK

Jul 20, 2019

A great course, really designed to understand the underlying core concepts of machine learning using real-life examples which takes you through all that with little to no programming skills required!

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126 - Machine Learning Foundations: A Case Study Approach 的 150 个评论(共 3,157 个)

创建者 Joseph C

Jul 29, 2018

Overly relies on a paid software (free for the course) called GraphLab. The course can be completed without GraphLab, but expect little / no responses to questions.

创建者 Kishore Y

Sep 25, 2021

This is a good idea to use the case study approach. However, there are issues with files and program setup that stopped me from continuing with the course.

创建者 De V d P

Mar 13, 2022

outdated nightmare to get started. unusable practicals outside of learning sand box.

创建者 Jason S

Aug 24, 2021

great professors, great setup. Just extremely outdated software is used.

创建者 Jianfeng G

May 28, 2022

Well designed, but too outdated. No learning support at all.

创建者 Keith P D C

Oct 28, 2019

Two stars because of GraphLab! Otherwise great concepts!

创建者 #volkswagen T

Jun 7, 2022

This is out of date. I cannot get week one to work.

创建者 M D 1

Feb 27, 2022

This course defenitely needs a major overhaul. While both the Lecturers did an amazing job in handling lectures, the programming assignemets were a nightmare to me. For instance, this course was designed in python 2xx and used certain libraries that were once accessible to everyone. However, they are now propreitry and cannot be accessed witout buying them. So had to use packages like pandas and numpy in python 3xx. So anyone thinking of doing this course, make sure u have adequate support using these packages in python 3xx. Defenitely not a course for beginner.

创建者 Christos P

Nov 2, 2022

WHY YOU MAKE THIS SO HARD TO US TO INSTALL THE PACKAGES AND THE LIBRARIES???

I HAVE TO UNENROLL THE COURSE BECAUSE I COULDNT FOLLOW THE INSTRUCTIONS OF HOW TO DOWNLOAD THE STUPID TURI. IN ALL OTHER COURSES THEY SAY DOWNLOAD THIS FILES AND USE THEM ... BUT NOOOO YOU HAD TO MAKE IT SO DIFFICULT .. WE HAVE TO USE CMD AND MAKE VIRTUAL MACHINE AND DOWNLOAD FROM THERE AND THEN DOWNLOAD JUPITER AND INSTAL AND YOU DONT EVEN GIVE THE RIGHT INSTRUCTIONS... I HAD TO SEARCH TO GOOGLE YOUTUBE ANS STILL YOUR STUPID PACKAGES ARE A PAIN IN THE A$$

创建者 Sara K

Sep 29, 2021

The teachers are stiff and, although they say the course involves a case study approach, you start with the basic Python assignments that will not apply to the cases. Also, they push a tech that does not seem to be the most commonly used one in Machine Learning. I wish Coursera would put a date on these courses so we can see when the courses are older, and therefore expect the content to be outdated.

创建者 Nethmini K

Jul 21, 2022

Plenty of issues with this course. The main issue is with the assignments. The instructions use graphLab but we have to use turicreate and sometimes this gets confusing.

The material is outdated.

The assignments do not have a clear structure. Too much jargon. A clear step-wise approach would have been better.

Disappointed overall.

创建者 Todd W

Dec 21, 2021

The tools needed for the course were impossible or nearly impossible) to get set up. The discussion forums were full of users struggling and others offering very complex and ways to try, yet none of them seemed to work. I spent about 5 hours failing to install the tools and finally quit the class.

创建者 Spiro D

Nov 18, 2021

i wish i read the reviews before starting this course... it is well explained but the fact that i am unable to load a dataframe due to being on windows is mindboggeling and greedy from the creators of the course (that happen to be the creators of this package). just aweful

创建者 Parangat B

Jul 23, 2024

outdated course. The tech stack required for this course is outdated and will not work on a Windows 11. Their python package Turicreate was archived and doesn't have any active support for it. Do not enroll in this specialization! Waste of time and money.

创建者 Sreekanth K J

Jun 9, 2021

Please mention that users need to use turicreate and sframes etc "only" to complete the assignments.

it is wrongly mentioned that one can complete assignments using any tool but very first assignment is forcing us to use turicreate and sFrames !!

创建者 Dennis L

Jul 28, 2023

After an entire day and all the tutorials and instructions, TuriCreate still does not run (Windows)... without it, the course is pointless... too bad, otherwise great inputs and instructors

创建者 Santosh K

Nov 14, 2021

Uses Outdated graphlab. Very difficult to follow the instructions. Tried using the turicreate but its very problematic. The courses should ease of use tools rather than something outdated.

创建者 OTHMANE E B

Aug 11, 2025

This course is a complete failure at this point. It would be better to either remove it entirely or keep only the theory section, because all the materials are outdated

创建者 Barak R

Aug 16, 2025

This course uses software/applications that are no longer available. Additionally, much of the instructions for installation etc are incorrect.

创建者 Sahil K

Nov 23, 2020

Software installation was a big trouble and took nearly month as this course was in graphlab, but we need to use turicreate or other toolset.

创建者 Harry W

Jan 6, 2022

You'll spend more time trying to get the correct versions and plugins working than you will studying. The course needs updating.

创建者 Konstantinos V

Nov 3, 2021

Started this course with great enthusiasm but end up with frustration on being unable to install Turi Create with python 3.10.

创建者 Aaron B

Jun 29, 2022

This course is out of date and really useless at this point. Do not waste your time. None of the code or examples work.

创建者 Muhammad A A J

Jul 12, 2021

This course is very old and waste of time because libraries used in here are not available for new versions of python.