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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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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.

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2126 - Machine Learning Foundations: A Case Study Approach 的 2150 个评论（共 3,162 个）

创建者 Дүйсенәлі Ұ Б

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Oct 29, 2024

perfect

创建者 Phạm N K

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Aug 10, 2024

amazing

创建者 Souvik D

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Mar 30, 2021

awesome

创建者 Manisha B

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Nov 26, 2020

awesome

创建者 Swayambrata M

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Oct 27, 2020

Awesome

创建者 Ibrahim K

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Oct 12, 2020

Awesome

创建者 Joy B

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Aug 27, 2020

AWESOME

创建者 Teymurlu K

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Aug 14, 2020

perfect

创建者 Ovi S

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May 16, 2020

Awesome

创建者 Vinit D

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May 7, 2020

Perfect

创建者 Alicia_Qi

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Mar 2, 2018

Perfect

创建者 Kuldeep K

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Aug 11, 2017

Amazing

创建者 Navinkumar

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Feb 8, 2017

Its goo

创建者 Pardeep S

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Nov 6, 2016

Awesome

创建者 Jinho L

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Oct 11, 2016

Thanks!

创建者 bardia a

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Apr 11, 2016

perfect

创建者 Stephen O

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Jan 8, 2016

awesome

创建者 Priyank P

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Dec 2, 2015

awesome

创建者 Emilio C Q

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Sep 30, 2015

Uber!!!

创建者 Prashant N

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Oct 8, 2023

,,,,,,

创建者 Harsha V

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Aug 22, 2023

superb

创建者 T S (

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Nov 28, 2020

arumai

创建者 Anshumaan K P

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Nov 4, 2020

nYc :)

创建者 W.A.P.C. S

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May 24, 2020

Great!

创建者 Nithya

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Mar 15, 2018

useful