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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：

976 - Machine Learning Foundations: A Case Study Approach 的 1000 个评论（共 3,159 个）

创建者 Ankit A

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Jun 17, 2020

Amazing course. Fun instructors. Loved the depth of details. Apt for an introductory course.

创建者 Lagadic A

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Nov 24, 2019

Great course to get a big picture of what machine learning is, what the models involved are.

创建者 Ashutosh R C

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Mar 24, 2018

good course for a beginner. I am already getting some amazing ideas on some practical usage.

创建者 Ravi c

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Sep 16, 2017

Amazing Course...This course will set a very strong foundation for your data science career.

创建者 Simon F

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Aug 8, 2017

Great overview over use cases in regression, classification and product recommender systems.

创建者 Cheng Z

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Aug 6, 2017

The courses are really great for any starter to understand the fundamental knowledge of ML.

创建者 C. G F

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Jan 11, 2017

General introduction to machine learning approaches and their application in real scenarios.

创建者 Raymond C

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Oct 16, 2016

Solid overview of the various ML techniques without getting too far into the math behind it.

创建者 Akshaya P K

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Mar 10, 2016

This course was perfect for me. learnt a lot about ML and got introduced to an awesome tool.

创建者 OG

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Dec 28, 2015

Great overview with some implementations of what will be covered through the specialization.

创建者 Muhammad A k

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Nov 7, 2017

Amazing Course. Great insight to the concepts of Machine learning, specially for beginners.

创建者 Siddharth P

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Nov 1, 2017

Excellent course. The quality is top class. Professors are awesome. Enjoyed thoroughly !!!

创建者 Harish k

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Apr 7, 2017

It was an excellent thorough course with practical sessions using python. It was awesome ..

创建者 Alex B

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Jan 2, 2017

Great mixture of theory and practice. Really enjoyed working through the IPython notebooks!

创建者 Santosh G

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Jun 9, 2016

The course is Awesome. I really liked the case study approach and the instructors are cool.

创建者 Maria d L B C

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Mar 19, 2021

Es un gran reto esta capacitación, pero es fácil entenderla y te van guiando en el proceso

创建者 Anirudh G

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Mar 23, 2017

Excellent course, which gives a hands-on overview of all the recent algorithms being used.

创建者 Lixin L

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Feb 25, 2017

awesome lessons!!! easy to get on hand and every piece of ML is crystal clearly explained.

创建者 Perumal R S

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Jan 28, 2017

great introduction to basics of machine learning concepts with hands on programs.Loved it.

创建者 g

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Jul 28, 2016

Interesting and useful course, give you an overview of current machine learning technique.

创建者 Yan Y

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Apr 11, 2016

I think it's too simple but not clear in the deep learning part, especially the subtitles!

创建者 Daniel Z

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Mar 7, 2016

This course is a piece of work. It is really impressive the cases study approach presented

创建者 Zeno S

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Jan 21, 2016

Great approach, very usefull metods. I'm really exited on doing the more specific courses.

创建者 Mao D

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Dec 4, 2015

very nice course to have, hope they can provide sample code for homework after submission.

创建者 Prasad V

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Sep 26, 2015

Very well designed course and the specialization. Plus the effort by Dato team is awesome.