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返回到 机器学习基础:案例研究

學生對 华盛顿大学 提供的 机器学习基础:案例研究 的評價和反饋

10,966 個評分
2,632 條評論


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....



Aug 19, 2019

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.


Oct 17, 2016

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


2076 - 机器学习基础:案例研究 的 2100 個評論(共 2,547 個)

創建者 Fred M B

Apr 08, 2016

The ML Foundations course provides a good overview of the other courses in the specialization. It also provides a good introduction to GraphLab.

創建者 Rishabh s

Jul 14, 2020

The course is great. The only problem was Graphlab and unfortunately i have to convert the code for pandas. Overall the course was informative

創建者 Yashodhar P P

Jul 12, 2020

Fantastic way of teaching. Only thing that I felt uncomfortable is that practical videos are old and mentioned graphlab instead of turicreate.

創建者 Kingshuk C

Dec 14, 2015

Provides a good overview of the machine learning branches. Makes sense to approach it as a black box and then take deep dives in later series.

創建者 Sunil N

Jan 31, 2020

Updated videos in line with Turicreate could be of great help. Thoroughly enjoyed the learning experience though! Thanks to both the tutors!

創建者 Andrew V G

Dec 25, 2017

Good introduction. I wish the notebooks had been a little more interactive, and there was more emphasis on applying the methods to new data.

創建者 Anshul T

Dec 26, 2015

A good course to show the extent of what is coming up in the specialization, a quick and dirty hands-on approach and pleasant course tutors.

創建者 Jiancheng

Dec 06, 2015

Great course design and case study! More detail about algorithm will be better, but maybe you can find them more in the following courses.

創建者 TE Z

Dec 21, 2018

A good way to get familiar with the machine learning things. it provides the very basic concepts and way of thinking from ML perspective.

創建者 Dina T S

Feb 10, 2016

The overall course was very useful.

However some topics I found difficulty to understand the idea even after repeating the video 3 times.

創建者 Lucas M

Nov 11, 2018

I couldn't install Graphlab create on my own environment, so I had to translate almost everything to Pandas/SKLearn.

Great content, still

創建者 Yogesh D

Apr 14, 2016

its a good course to get hands on development with machine learning algorithms. but one disadvantage being its using preparatory library


Sep 17, 2017

Great intro course to machines learning. For those who perhaps learnt back in university, it can also serve as a great revision course.

創建者 Maen A

Jul 18, 2019

The course content is great, it would be even better if the assignment were a bit more challenging rather than following instructions.

創建者 Marcello G

Dec 01, 2015

It'd be 5/5 if it used scikit-learn, instead of proprietary software (albeit with 1yr free to use license for non-commercial purposes)

創建者 Oliver K

Jun 03, 2018

this is a good first introductory course on various machine learning algorithms. Helped me a lot to understand the basic principles.

創建者 William P

Apr 22, 2016

Installation of the recommended toolkit is tricky and very expensive if perused non-academically.

Content is clear and well presented.

創建者 James C

Jun 29, 2016

Good primer to Machine Learning - uses real world examples to introduce different machine learning concepts in an interesting way.

創建者 Gello M V

Jan 03, 2016

Interesting! The lecturers were good. Though sometimes, things get boring. But overall, the subject and the quizzes were exciting!

創建者 fetty f

Feb 19, 2016

This course is very fun especially the lecturers. Beside that, all the topics have contextual sample that very easy to understand

創建者 Balasubramanya S

Aug 25, 2018

Good course for understanding basics about ML, it will be good for professionals to start same course with Open source libraries

創建者 Ching C H J

May 20, 2018

Lots of problem with graphlab installation.... and turicreate is not supporting all the functions the same way as graphlab does.

創建者 Ahmed N

Feb 24, 2017

This course is very important for me and i really learned many things of machine learning concepts and its important study case.

創建者 Sylvia L

Apr 10, 2016

Very practical and the contents are good. But the quizzes are just too simple and the analysis on the cases are not deep enough.

創建者 yehoshua c

Jan 06, 2016

I really liked the enthusiastic lecturers and the "easy" to learn approach. with that the exercises were easy and meaningful :)