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返回到 Machine Learning Foundations: A Case Study Approach

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....

热门审阅

RH

Jun 8, 2017

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.

MK

Jul 20, 2019

A great course, really designed to understand the underlying core concepts of machine learning using real-life examples which takes you through all that with little to no programming skills required!

筛选依据：

1876 - Machine Learning Foundations: A Case Study Approach 的 1900 个评论（共 3,159 个）

创建者 SAMRATSAKHA

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Jul 7, 2020

Very nice course

创建者 Syed T A

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Jun 23, 2020

very interesting

创建者 Rishav s

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Jun 11, 2020

excellent course

创建者 Ati J

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May 15, 2020

Very good course

创建者 Minukuri S R

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May 10, 2020

Good Experience.

创建者 Md R

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Dec 10, 2018

Great Experience

创建者 Ganji R

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Oct 20, 2018

Excellent course

创建者 Roman

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Aug 25, 2018

Good intro to ML

创建者 Abhishek P

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Jul 30, 2018

Very good course

创建者 Praveen B

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Nov 28, 2017

Wonderful Course

创建者 Josue S

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Sep 16, 2017

Excellent course

创建者 Megh P

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Jun 8, 2017

very good course

创建者 Thiago B

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Jun 7, 2017

Excelent course!

创建者 Pappy S

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Apr 12, 2017

Excellent course

创建者 veneshkumar g

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Apr 1, 2017

excellent course

创建者 Dawit H

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Mar 2, 2017

Amazing lecture!

创建者 Mars W

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Jan 23, 2017

very good course

创建者 丁俊南

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May 11, 2016

very good course

创建者 Alexander S

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Feb 7, 2016

great and funny.

创建者 Punita P

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Jan 21, 2021

it is very good

创建者 KURALOVIYA N

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Oct 20, 2020

good experience

创建者 Andrea M E G

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Aug 6, 2020

Excelent course

创建者 DIVYANSH K

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Aug 6, 2020

course was good

创建者 Sunanda G

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Jul 27, 2020

Great! Awesome!

创建者 Pranav

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May 21, 2020

truly amazing!!