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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.

SS

May 18, 2020

The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.

筛选依据：

1101 - Machine Learning Foundations: A Case Study Approach 的 1125 个评论（共 3,159 个）

创建者 Richard G

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Jun 6, 2018

Good introduction for people looking more for hands on than academical theory.

创建者 Worku J

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Jun 2, 2018

Great start through working on practical applications of the Machine Learning.

创建者 Pang J

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Sep 28, 2017

machine learning is interesting，and I will learning more. Thank you very much.

创建者 Rajarshi B

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Aug 6, 2017

Best way to welcome into Machine Learning. I am a big fan of both instructors.

创建者 Victor C

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Apr 22, 2017

Exceptional overview that presents a big picture that motivates detailed study

创建者 Johnny A

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Mar 17, 2021

It was a great course, The teachers talent is amazing and they are fun people

创建者 Jenny

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Aug 5, 2019

I found I learned a lot during this lession and I have broadened my horizons.

创建者 Pranjul S

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Jul 4, 2018

A great overview and hands-on machine learning concepts and its applications.

创建者 Abdul B M

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May 6, 2018

Great Course, awsome instructors, really fine course material, Simply Awsome.

创建者 Usha T

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Oct 1, 2017

Very good introductory course to ML. It had just the right amount of details.

创建者 Gene C

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Jul 16, 2017

Great course love the practical introduction to the remaining course modules.

创建者 Shihab H

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Oct 31, 2016

Very easy to follow, well-paced, practical / not just theory, cheesy jokes :)

创建者 Jiansen.Zheng

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Apr 13, 2016

An Awesome course, which is quite suitable for beginners in machine learning.

创建者 Xin J

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Jan 20, 2016

It is a very nice course which is the fundamental course of machine learning!

创建者 Khang V

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Dec 30, 2015

Good course, interesting information and knowledge. I also love the exercises

创建者 Ms. C K C S

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Sep 18, 2020

Excellent course for beginners in Machine Learning. Love to do more courses.

创建者 TANU S A C (

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Jul 30, 2020

I am grateful to join such a awesome training cirtificate by these Intruders

创建者 Kripakaran R

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Nov 10, 2018

Some of the informations are half baked, hope to see them in future classes.

创建者 Yugo G

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May 26, 2017

Excellent course with simple explanation and case study, and easy to follow.

创建者 varanasi k k

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Feb 20, 2017

Best course to learning quickly machine learning and understanding concepts.

创建者 yehongtu

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Sep 15, 2016

This is a very cool course about machine learning. I learned a lot from it.

创建者 Tsung W T

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Feb 28, 2016

Great introduction course that requires few programming and math background.

创建者 purbohadi u

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Dec 4, 2015

I like the way Carlos and Emily explain the course in a simple and easy way.

创建者 Ge Y

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Dec 3, 2015

Good application oriented machine learning course. Thanks for GraphLab team!

创建者 Amol K G

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Aug 23, 2020

Need to upgrade python 3 and updated libraries. Rest of the other all good.