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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
12,649 個評分
3,028 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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426 - 机器学习基础:案例研究 的 450 個評論(共 2,948 個)

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

創建者 Jesse C

2021年8月28日

R​eally enjoyed all the material presented by the professors! They're enthusiasm for machine learning is contagious. I would highly recommend this course as an entry-point to machine-learning.

創建者 Naveen T

2016年4月24日

Excellent course! I like Emily and Carlos' approach to delivering online courses and the content and structure of this specialisation. I would definitely recommend this course to my friends.

創建者 Joseph K

2015年10月29日

Great survey course for main topics in machine learning without going too much into detail. The professors do a great job of keeping the topics relevant to modern-day uses of machine learning.

創建者 Nasir M

2020年8月12日

Excellent foundation course on ML, Enhanced the wish to learn detailed topics in ML, very attractive methods by Instructors, Thanks for creating thirst and encourageuing to learn more on ML

創建者 Aradhika N

2017年6月21日

Love how the modules are broken down into small segments of 3-5 minutes on an average. Makes it easier and definitely not monotonous as compare to other courses. The professors are amazing!

創建者 Mahmoud A E

2016年2月28日

The top-down approach of this course is the best way to understand concepts and view solutions for real-world applications. This way I can go deeper after understanding why I am doing this.

創建者 Nagendra K M R

2018年9月22日

Explanations are provided in detail which helps even the beginners to master the Machine Learning. Case studies are very interestinghelpful to master the concepts and gain the confidence.

創建者 Robert R

2018年3月25日

A running Jupyter notebook with working examples. Very nice. I couldn't get my local system setup the way they explained, probably because my Python is 3.x is newer than 2.x. Not sure.

創建者 Dauren

2017年12月22日

Gives a good overview of tools and models used in Machine Learning. Once taken this course, you will have a general knowledge of domain upon which Machine Learning methods can be applied.

創建者 Ramy S

2019年6月22日

Excellent course. I am currently working at Amazon.com and find that this is a perfect supplementary course that will allow a professional to solve business problems. I highly recommend.

創建者 Joseph L

2016年2月28日

Had a blast. I have no background in ML whatsoever. But the tools, concepts and exercises presented is really interesting and really help set the mood for the rest of the specialization.

創建者 Rogelio Z R

2015年12月3日

Emily and Carlos are amazing! The course is well laid out, specially as part of the specialization, taking the regression course would have been different without the foundations course.

創建者 Francesco P

2021年3月16日

Nice introduction to DL, easy to follow with the suggested turicreate or any other framework.

IT is juts a pity that the specialisation this course belong to will no longer be completed.

創建者 Prabuddha K

2017年4月2日

Brilliant overview. Many thanks to the teachers for designing such a comprehensive overview. This course must be followed by all the others in the specialization for best understanding.

創建者 Richard K

2016年12月16日

Great course, really well designed and with some interesting real life case studies. Lectures are clear and informative and the assignments help cement your understanding of the content

創建者 James P

2016年11月27日

Very nice overview / introduction to machine learning. Setting up the environment initially was annoying but well worth the effort to be able to analyze/solve more realistic use cases.

創建者 Hassan F

2016年2月8日

Great overview of basic ML concepts in different situations along with hands on exercises. It was really helpful, with examples and little programming challenges that help learn easily.