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Machine Learning Foundations: A Case Study Approach(으)로 돌아가기

워싱턴 대학교의 Machine Learning Foundations: A Case Study Approach 학습자 리뷰 및 피드백

4.6
8,951개의 평가
2,143개의 리뷰

강좌 소개

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....

최상위 리뷰

SZ

Dec 20, 2016

Great course!\n\nEmily 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.

PM

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.

필터링 기준:

Machine Learning Foundations: A Case Study Approach의 2,062개 리뷰 중 126~150

교육 기관: Brandon M

Sep 12, 2018

A much better introduction to ML compared to other MOOCs I've taken.

교육 기관: Giovanni

Sep 14, 2018

This course offers a broad range of examples in ML. Clearly some basic knowledge of linear algebra and other concepts is needed, but I believe it is well structured to help those who're not so strong in math. It really is basic, though, so if you have already some knowledge in ML this will result sometimes a bit slow.

교육 기관: Shivam G

Sep 14, 2018

Very well designed course.

Emphasizes more on application side and covers primary domains as well.

교육 기관: Roma A

Aug 25, 2018

Good intro to ML

교육 기관: Leonardo M d O

Aug 25, 2018

Amazing course. I had already done other ML Courses at coursera, but the competitive differential is the friendly approach took by the professors. Carlos and the other girl are very nice, they smile...so the training gets less formal, they look like a friend telling stories in a bar. Another main point is really the uses cases. They swap between the big forest map and the detailed view of the leaf in a succinct way. Easy to understand both views. Congratulations.

교육 기관: Yaobang C

Aug 29, 2018

I am very grateful to the coursera platform for giving me the opportunity to learn, and I would also like to thank the two professors for their careful preparation of the wonderful lectures. I learned about machine learning and fell in love with ipynb, thanks again!

교육 기관: 小拿

Aug 30, 2018

The course is very practical and contributes to the understanding of machine learning theory.

교육 기관: Courage S

Aug 17, 2018

SPOT ON 100%. Teaching Methods - 100, Humor - 100, Practicality - 100, Applicability - 100.

Thanks UoW, Emily, Carlos, Coursera.

교육 기관: blues星星

Aug 17, 2018

m满分,讲的很不错

교육 기관: leonardo d

Sep 01, 2018

Well thought methods for modern data analysis

교육 기관: Basha S

Sep 05, 2018

Excellent!!

교육 기관: Shreyansh P

Oct 06, 2018

it was very helpful course

교육 기관: Muhammad R

Oct 16, 2018

It nice to learn this course.I want to suggest regarding installation there should guide(Video form) regarding setting up tool for this course.Thank you.

교육 기관: Omar A

Oct 09, 2018

Thank you for the amazing course. To be honest this is the first course that I complete on course era. The professors are amazing and the pace of learning is suitable for all levels. I look forward to complete the whole specialization. Keep going :)

교육 기관: Ganji R

Oct 20, 2018

Excellent course

교육 기관: Prashant S

Oct 19, 2018

This is a brilliant stepping stone for Machine Learning world. Basics are being discussed and explained in a very simple manner. thanks to the teachers and Coursera

교육 기관: Susanne E

Oct 10, 2018

This is a fun course that gives you a very good overview for different machine learning methods. It is indeed a case study approach which is very nice because you get an idea of how versatile machine learning and its application really is. Plus, you get to solve some meaningful questions using machine learning yourself. This first course doesn't explain how the algorithm works in detail but on a higher lever so that you understand the underlying idea and principle.

The videos are super fun to watch as Carlos and Emily are super likeable, and very engaged and excited about the things they're doing and teaching. Thank you so much, I had a great time doing this course!

교육 기관: Mohamed A H

Oct 23, 2018

The instructors are very professional, straight-to-the-point, and they have a nice sense of humor :)

which made the course much more interesting. Definitely recommended!

교육 기관: Khalid K

Oct 24, 2018

Very effective teaching method.

교육 기관: Anjali S D

Oct 27, 2018

best course

교육 기관: Justinas S

Oct 26, 2018

Interesting course, it's our future

교육 기관: Jeevanjot S

Oct 29, 2018

Very good foundations course for beginners.....might be a little too basic for people who have experience in ML, but nonetheless good for refreshing your knowledge. Absolutely love the sue case approach.

교육 기관: Asato T

Oct 28, 2018

very good course to learn machine learning foundations.

교육 기관: Fahad S

Nov 02, 2018

The case study approach works perfectly to enhance motivation. It sets up the stage for diving deep into the algorithms.

교육 기관: Lan J

Nov 02, 2018

Love it. Easy and useful.