Chevron Left
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

4.6
星
13,550 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

BL

Oct 16, 2016

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

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：

2201 - Machine Learning Foundations: A Case Study Approach 的 2225 个评论（共 3,162 个）

创建者 Karan S C

•

Nov 17, 2020

Good

创建者 V D

•

Nov 15, 2020

good

创建者 MODANI H

•

Oct 31, 2020

Good

创建者 Sasisrivundavilli

•

Oct 30, 2020

GOOD

创建者 YOKESH K R

•

Oct 17, 2020

nice

创建者 Rashmi B

•

Oct 13, 2020

Good

创建者 Rabeya T S

•

Oct 10, 2020

Good

创建者 Stylishstar R

•

Oct 9, 2020

Nice

创建者 ahmed k

•

Sep 22, 2020

Good

创建者 SWETHA A S

•

Aug 20, 2020

Good

创建者 TALLURI

•

Aug 15, 2020

Nice

创建者 SRIBIN S

•

Aug 6, 2020

nice

创建者 Jaladi N

•

Aug 2, 2020

good

创建者 Vimonisha.a

•

Jul 28, 2020

good

创建者 Sakshi U

•

Jul 24, 2020

good

创建者 MOHD J A

•

Jul 24, 2020

nice

创建者 R M

•

Jul 17, 2020

good

创建者 DURGA S K

•

Jun 15, 2020

good

创建者 ANU P V

•

May 29, 2020

good

创建者 Deleted A

•

May 21, 2020

GOOD

创建者 Utsav R V

•

May 18, 2020

Good

创建者 Vaibhav S

•

May 16, 2020

Good

创建者 KVD S

•

Apr 18, 2020

good

创建者 MOHD N B A L

•

Feb 4, 2020

good

创建者 aolei

•

Jan 4, 2020

good