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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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13,550 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

AH

Mar 27, 2022

very nice course.If you have basic knowledge of python datastructure then this course is best to start data science.All contents are beginner friendly which makes this course easily understandable.

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.

筛选依据：

1376 - Machine Learning Foundations: A Case Study Approach 的 1400 个评论（共 3,162 个）

创建者 Jonathan H

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Jul 1, 2017

Emily and Carlos are great! Excellent intro course!

创建者 THARANGINI S

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Jan 3, 2017

Great foundation course detailing key aspects of ML

创建者 First N R L N R

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Feb 8, 2016

Great for beginners with background in programming!

创建者 Jeyaprabu J

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Feb 2, 2016

Application oriented approach...easy to catch up!!!

创建者 Popovics L

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Dec 4, 2015

Excellent course, with very handy programming tasks

创建者 Sheraz N

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Nov 9, 2015

Excellent approach to motivate for Machine learning

创建者 Anmol J

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Nov 15, 2021

it was very good course i have learned many things

创建者 Opas S

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Nov 8, 2020

Great course very good introduction from beginning

创建者 Humna N

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May 24, 2020

it's amazing and made my hands on machine learning

创建者 Murugesh M

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Oct 12, 2019

Awesome course will maximum practical applications

创建者 John G

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May 28, 2018

Well presented, good level of detail and challenge

创建者 Jonathan C

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Oct 26, 2017

learned some really amazing things in this course!

创建者 JeongEuiDong

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Oct 16, 2017

It was awesome

I can learn python& machine Learning

创建者 Nihal T

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Jun 27, 2017

Great course to get started in machine learning...

创建者 xiling z

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Mar 26, 2017

Very nice class. Well designed quiz and assignment

创建者 Pelletier M

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Jan 31, 2017

Great course and best wishes for Carlos and Emily!

创建者 Theodore T

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Jan 23, 2017

Very diverse applications and well thought through

创建者 Oleksandr K

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Jan 26, 2016

Nice practical course for ML-beginners such as me!

创建者 Parag S 2

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Aug 4, 2021

The course was really very helpful. very detailed

创建者 G S Y D

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Aug 24, 2020

excellent and explained with real world scenario.

创建者 Sanjeev G

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Jun 8, 2020

Learning Machine Language is very good experience

创建者 Rohit K T

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Apr 20, 2020

python version is old but good stuffs are covered

创建者 Tanachote R

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Jan 30, 2020

Good style of teaching and modeling is very clear

创建者 Deleted A

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Jul 24, 2019

This course helps me understand Machine Learning!

创建者 Vibhutesh K S

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May 19, 2019

this is indeed the best course introductory here.