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Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington

4.6
stars
13,376 ratings

About the Course

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....

Top reviews

PM

Aug 18, 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.

The forums and discussions were really useful and helpful while doing the assignments.

SZ

Dec 19, 2016

Great course!

Emily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.

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3076 - 3100 of 3,116 Reviews for Machine Learning Foundations: A Case Study Approach

By Rangarajan m

Aug 31, 2020

Not focusing on Basics of Machine Learning rather to focus on specific software application on Turi . Unable to complete the quiz which is based on non-user friendly Turi software installation.

Please be generic and encourage to use Jupyter Ipython notebook to use common libraries to focus on Machine Learning basics not to promote Turi or specific software to complete the course

By Павел

Jan 20, 2021

Самое трудное это заставить работать используемые в этом курсе библиотеки. Дошло до установки виртуальной Убунты, и то оно так и не заработало на 100%. Да, можно использовать их колабные ноутбуки, но в чем смысл изучать материал на каких-то левых непопулярных и кривых библиотеках, я не понимаю. Надеюсь, что опыт работы с фреймами можно будет применить где-то еще, кроме их курсов.

By Rahul R

Dec 18, 2020

Absolutely no help from the course moderators regarding how to run a program, which they've made it over complicated. I've been using Python for a while now and this is not even remotely student friendly, which has forced me to discontinue the course since I am unable to do the assignment required for the assessment.

By Xiaoshu X

Dec 10, 2020

Sorry, I have to give it up and provide a low rating. I think the materials provided are not connected and make me lost. Especially, I can not download Turicreate on my laptop and have to use Colaboratory. So I learn graphlab and try Graphlab on Colaboratory. All three things make me dizzy.

By Felipe B C

Jun 16, 2023

Unfortunately this is an outdated course. I lost two days trying to setup my environment to use Turicreate, the Python library or choice for the course (which is unmaintained for 3 years now), and still can't put the environment in place. I've opted to enroll to another ML specialization.

By akshatha k

Mar 6, 2023

Too hard to install Turicreate on MacOs and windows. Quitting the classes because I wasted 3 hours and wasn't able to install this Turicreate on any of my systems. To solve the quiz the files are in sframe format, can't use pandas to open this type of file format

By Vilasha V N

Apr 11, 2020

Not worth doing. Notes are insufficient to help install packages needed to follow the course. Many had posted on the same error message but there has been no guidance. Support is very poor, Course materials are outdated. Not recommended.

By Osamudiamen I

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.

By Yukihiro F

Apr 9, 2023

おそらく内容は悪くないと思うのですが、時間の無駄です。おすすめしません。

必要なソフトウェアをインストールするため調査に数日費やし、結局あきらめることになります。

フォーラムは「インストールできない」という投稿で溢れていて、インストールに成功したという報告は一つも見つかりません。

「turicreateは必須ではなく他のソフトウェアを使っても良い」と書かれていますが、それは極めて困難だと自分は思います。

By Kyle D

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.

By Ruth P

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.

By Tasneem B

Oct 20, 2022

The instructions for setup of turicreate were lacking.

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

By Bharath K V

Dec 13, 2021

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

By Kunal V

Sep 22, 2020

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

By Marius M

Jul 8, 2020

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

By Florea G A

Oct 11, 2020

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

By Anoop B

Dec 2, 2020

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

By Charles D

Apr 23, 2024

Requires esoteric software installs that are not supported in Enterprise environments.

By James S

Jul 18, 2023

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

By andrew r

Nov 25, 2020

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

By Cynthia N C

Oct 6, 2023

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

By Sudheesh R S

Jul 11, 2020

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

By Arpit S

May 22, 2020

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

By Ahmad Z S

Oct 12, 2023

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

By Bo W

Jul 15, 2023

Outdated Course. Should teach Pandas instead of TuriCreate