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Machine Learning Foundations: A Case Study Approach に戻る

ワシントン大学(University of Washington) による Machine Learning Foundations: A Case Study Approach の受講者のレビューおよびフィードバック



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....




The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.



Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much


Machine Learning Foundations: A Case Study Approach: 3001 - 3025 / 3,032 レビュー

by Santosh K


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.

by Kyle D


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


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 Sahil K


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.

by Harry W


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

by Konstantinos V


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

by Bharath K V


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

by Muhammad A A J


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

by Kunal V


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

by Marius M


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

by Florea G A


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

by Bowen S


poorly structed with questions & answers

the packages used for the course has been out dated

by Anoop B


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 Poor presentation, unnecessary talks, clumsy video and outdated content.

by andrew r


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

by Kailash H S N


very bad , theyuse SF frames which is not in use now ..very hard to do the quiz

by Sudheesh R S


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

by Arpit S


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

by Pratick B


I​nstallation of Sforce and turi was not shown adequately enough.

by Mohamed M


import turicreate is hard to install and class based on it

by Eunyoung C


This course could be better to use general python library.

by Christian C


El curso es bueno pero esta completamente desactualizado

by Sunita b l


Provide the good notes and video so all concept clear.

by Melissa F


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

by Nguyen K D


Coursera Scam Auto Subcription. Free Fuckers

by Jeni


Instructional videos were unclear.