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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：

1451 - Machine Learning Foundations: A Case Study Approach 的 1475 个评论（共 3,162 个）

创建者 Leonardo D

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Sep 1, 2018

Well thought methods for modern data analysis

创建者 Arkady K

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Jun 15, 2017

Very nice introduction to ML, love graphlab !

创建者 Niraj U

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Nov 2, 2016

It is a solid foundation to Machine learning.

创建者 Anastasiia V

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May 8, 2016

I like it because of excellent practice cases

创建者 Sérgio d B

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Apr 27, 2016

Awesome Specialization course. A great intro.

创建者 Guoquan Z

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Mar 27, 2016

a REALLY interesting course for ML-beginners.

创建者 Richard Y

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Mar 17, 2016

Good introductory course to machine learning.

创建者 Frederick K

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Feb 21, 2016

Loved it, wonderfully prepared and presented.

创建者 Tanmay G

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Feb 20, 2016

Great introduction to machine learning topics

创建者 Lion F P d S

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Dec 16, 2015

Very Good Course. Dato features are fantastic

创建者 Carlos S

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May 27, 2025

Very good course. Very useful and important.

创建者 ASWATHI A B

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Jul 19, 2020

It is very excellent class.i really enjoyed.

创建者 Shwetha K

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Feb 8, 2020

Great course with lots of intuitive examples

创建者 Ujwala M S

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May 31, 2019

Excellent online training and systematic app

创建者 Akshay C L

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Sep 15, 2017

A brilliant way to introduce ML Foundations.

创建者 Gerardo O

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Aug 7, 2016

Great course, I like the practical approach!

创建者 Yongxiang T

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Apr 10, 2016

I like this course, very practical and cool!

创建者 James L

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Feb 1, 2016

Cool intro to machine learning and graphlab.

创建者 Siyuan M

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Oct 23, 2015

Like the toolbox and this case-study pattern

创建者 Shubham D S

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Jul 23, 2020

In this course is very useful for beginners

创建者 Jose E S S

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Jan 13, 2019

Awesome, better course of machine learning.

创建者 Abhishek B

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Dec 16, 2018

Good Machine Learning course for beginners.

创建者 ANIL K S

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Nov 4, 2017

Excellent approach, examples & presentation

创建者 Abhi R

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Apr 19, 2017

Awesome - it is a great introduction to ML!

创建者 Ganghee J

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Dec 1, 2016

Great introduction to the machine learning!