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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

4.6
12,369 個評分
2,965 條評論

課程概述

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....

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PM
2019年8月18日

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.

BL
2016年10月16日

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

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401 - 机器学习基础:案例研究 的 425 個評論(共 2,876 個)

創建者 Lucas d L O

2016年8月9日

Great course for understanding introductory principles of the different areas of Machine Learning. The classes are very well taught and the exercises are very interesting. Highly recommended for beginners!

創建者 Guillermo R

2018年5月13日

I really enjoyed the foundations course. It did exactly as I expected - it gave a great overview of machine learning concepts to prepare for the upcoming in-depth modules. Emily and Carlos were fantastic!

創建者 Kan B

2016年10月24日

Very good approach. Let students hands on and play with ML model first, before jumping into details. In real life, understanding use cases is really important before investigating more time into theories.

創建者 Jeevanjot S

2018年10月29日

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.

創建者 Pranav V V

2017年10月15日

The course provides a good overview of different ML approaches - Regression, Classification, Clustering, Neural Networks. The approach of using exercises to answer quiz helps in practicing the concepts.

創建者 Eftychios V

2016年6月25日

I really liked the case study approach. It starts from real life examples and shows you how simple it is to make your own models and predictions which really lures you into the machine learning concept.

創建者 Hemanth P H

2020年10月24日

A good course for getting a rough idea of what machine learning is, and what its applications are.

The course provides the basic knowledge for the specialization course. Overall I enjoyed it thoroughly.

創建者 uday s

2017年8月1日

Great curse for anyone wanting a high level over view of machine learning. Had good mix of tutorials and quiz as well as homework. The faculty were very good and kept up the interest with some good hum

創建者 SAI C P

2016年11月4日

The course touches upon all the necessary fundamentals of machine learning in the best way possible -- through case studies. One gets a hang of the ipython notebook and graphlab create environment too.

創建者 Revanth P

2016年6月16日

Great course to get an overall view and some hands-on experience for Machine learning. Thoroughly enjoyed working the course. The videos are short and concise, making the learning experience enjoyable.

創建者 Lancy

2015年10月26日

Liked the approach to use case studies to explain Machine Learning and the many algorithms. Brought the otherwise complex subject to life. The hands-on exercise were very useful to consolidate learning

創建者 organek.natalia@gmail.com

2020年4月23日

I really enjoyed this course. Even if it is only about foundations I feel I understand ML better and I knew almost nothing about it in the beggining. Thank you for your work to give as such courses :D

創建者 novajo

2017年12月5日

definitely 5 stars. I would like to say this course is much more closer to the beginner (including myself) who may not have sufficient concepts and experiences on the machine learning, linear algebra.

創建者 chris l

2019年10月8日

This was good introductory course with challenging programming assignments that expanded and grounded the lecture materials. The forums also proved great support when needed, overall very satisfied.

創建者 Munesh S C

2020年7月5日

A very balanced first course that introduces machine learning in a very practical and simple way. I would recommend highly this course to anyone who plans to learn machine learning through practice.

創建者 Dipanjan S

2015年9月28日

Excellent course, with really good lectures, material and assignment. Plus the professors are really amazing and their enthusiasm is really refreshing and makes the class more interesting. Loved it!

創建者 KARTHIKEYAN K

2019年2月11日

The course module is very clear and very useful for me to understand the ML concepts.

Really excited about more features in the C_Stone project where i think we can do something for my organisation.

創建者 Rebekah H

2017年6月9日

I felt this course did a good job introducing the student to Machine Learning. The examples and hands on assignments brought the concepts home. I was able to use the knowledge immediately at work.

創建者 Govindarajan

2017年6月4日

This course is very helpful for people who are novice in machine learning. The course uses Graphlab Create which is different from scikit or R-libraries, but the tool(Graphlab) is excellent to use.

創建者 Bhavesh G

2020年3月28日

This course foundation for those who want to do specialization in Machine Learning. It's really very useful course, I recommend do this course If you want to do specialization in Machine Learning.

創建者 geetika s

2016年11月8日

One of the best courses available online. Actually got to know how to apply theoretical knowledge in designing systems. You people are the best and made concepts and things really easy. Hats off!!

創建者 Ashley A

2016年11月14日

Really liked the course and the teachers. Would have preferred more detail on the quizzes so I didn't feel as lost as I did some of the times while trying to piece together what a question meant.

創建者 Chandrabhan

2020年6月21日

I'm very thankful to coursera. It's provide a cost of free certification of machine learning which cost in market is approximately 3000rs.i think coursera is a good platform. Thank you coursera.

創建者 Sarim A

2017年10月7日

really like the instructor and the course. it was very hands on specially for me who is coming from Bigdata (python and hadoop) background . thanks for this cool and amazing learning opportunity

創建者 Amr H

2018年6月20日

The course Content is very good and also the instructors .graphLab tool is also good toolI wish there was a hint for scikitlearn but it is a good course for beginners and i Recommend it for all