Name: Machine Learning Foundations: A Case Study Approach
Brand: University of Washington
Availability: OnlineOnly
Rating: 4.6 (3159 reviews)

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学生对 University of Washington 提供的 Machine Learning Foundations: A Case Study Approach 的评价和反馈

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13,543 个评分

课程概述

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....

1676 - Machine Learning Foundations: A Case Study Approach 的 1700 个评论（共 3,159 个）

创建者 SUJAY P

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Aug 20, 2020

great teaching .....thank u !

创建者 QIANGQIANG G

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May 7, 2020

well-organized course, thanks

创建者 Santosh K D

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Jun 4, 2019

Best course for introduction.

创建者 abbas s

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Feb 28, 2019

wonderful learning experience

创建者陈兵

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Mar 14, 2018

very good material, good work

创建者 Monisha M

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Jun 21, 2017

A great course for beginners!

创建者 Raymond Z

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Aug 10, 2016

very cool practical approach!

创建者 Raghad A

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Feb 10, 2016

Very well constructed course.

创建者 Xi X

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Sep 21, 2022

great learning experience!!

创建者 Kode K V

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Nov 28, 2021

They teach very beautifully

创建者 Vinh N X

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Oct 8, 2021

i feel the course is so good

创建者 ADARSH K D I S

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Jan 4, 2021

too much helpfull ..thanks:)

创建者 PAVITHRA B

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Sep 29, 2020

Excellent Fundamental course

创建者 Kranthi K G

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Sep 15, 2020

Perfect course for beginners

创建者 Hemanth

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Jul 8, 2020

very helpful and informative

创建者 Soumya M

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Jun 27, 2020

Really helpful for my career

创建者 Rajyavardhan S R

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Jun 29, 2019

Amazing Course, learnt a lot

创建者 Aakash D S

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May 13, 2019

Simply Awesome, Thanks a Lot

创建者 Ian M C

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Nov 26, 2018

It was a great introduction!

创建者 Charlie C H

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Jun 10, 2018

Very useful and clear lesson

创建者 Giuseppe S

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Jan 26, 2018

Nice course ! I enjoyed it !

创建者 Liekens W

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Dec 16, 2016

Great course for starting ML

创建者 Prashanth P P

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Nov 25, 2016

Loved it. Simple and crisp !

创建者尧浩华

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Sep 29, 2015

It is very helpful my study!

创建者 Yash S

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Apr 6, 2021

awsome course for beginners

学生对 University of Washington 提供的 Machine Learning Foundations: A Case Study Approach 的评价和反馈

课程概述

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1676 - Machine Learning Foundations: A Case Study Approach 的 1700 个评论（共 3,159 个）