Chevron Left
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
12,275 個評分
2,941 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....

熱門審閱

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

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.

篩選依據:

2526 - 机器学习基础:案例研究 的 2550 個評論(共 2,853 個)

創建者 Sam P

2018年1月16日

A bit light on details but a great first course!

創建者 Qishen S

2017年5月25日

A good overview of ML and tutorial for graphlab.

創建者 Harsh R

2020年5月18日

The course is little bit outdated.

please update

創建者 shadab h

2018年11月18日

A must do course to start with Machine Learning

創建者 Steve K

2019年1月21日

great class to learn machine learning hands on

創建者 Spike Y

2017年11月30日

I like the explaining about ipython notebook !

創建者 Abid A S

2017年8月3日

Good one to start learning some basic concepts

創建者 Amilkar A H M

2019年5月10日

It's a very good introduction to the subject.

創建者 Roberto E

2016年11月28日

Interesting but a bit weak for my purposes...

創建者 Matic D B

2016年2月9日

Great course. Maybe a little bit too basic.

創建者 Jayant S

2019年10月22日

Explanations must be more comprehensible.

創建者 Flavio B

2016年2月9日

Most of it I already knew, but was nice.

創建者 GOLLAPUDI R C

2015年11月23日

A good introduction to machine learning

創建者 Charupriya S

2020年7月21日

It's really nice course for beginners.

創建者 Sankara S K

2018年9月22日

This is a good 101 course to start ML.

創建者 Nil K P

2020年6月10日

So far Best Course on Machine learnig

創建者 Jakkamsetti S D

2020年4月27日

It's really good studying in Coursera

創建者 Om D

2019年12月4日

Nice Course with Detailed explanation

創建者 Oleg S

2017年7月21日

very difficult...a real challenge....

創建者 JUTUR S V

2020年6月24日

Easy Understanding and good teaching

創建者 Alberto M B

2018年9月21日

Good overview but basic information.

創建者 Neilmani S

2018年2月13日

It was one of the amazing Course !!!

創建者 Yang W

2016年3月10日

A very practical course. Like Emily.

創建者 Priyanka J

2020年6月18日

Good work but need more explanation

創建者 Abhinav M

2018年4月1日

Great material to try out ourselves