Name: Machine Learning Foundations: A Case Study Approach
Brand: University of Washington
Availability: OnlineOnly
Rating: 4.6 (3162 reviews)

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学生对 University of Washington 提供的 Machine Learning Foundations: A Case Study Approach 的评价和反馈

4.6

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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....

3026 - Machine Learning Foundations: A Case Study Approach 的 3050 个评论（共 3,162 个）

创建者 Adrien L

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Feb 2, 2017

No good without the missing course and capstone projects

创建者 Aleksey C

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Dec 11, 2016

....mmm fsdfg gsgsd sgsdgsdg sdsdgsdg ggsgsd sgdsdgsg

创建者 Christos M

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Feb 1, 2023

The assignments were really short and extremely easy

创建者 HITESH D

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Jun 15, 2020

Installing software parts gave me a very hard time.

创建者 Bastian M P

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Jun 1, 2016

Could go a little more in detail on the algorithms.

创建者 Jaime O

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Jan 31, 2017

The Deep Learning part needs to be improved

创建者 Chen S

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Oct 26, 2015

Very basic, the quizzes aren't clear enough

创建者 Li-Pu C

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Oct 29, 2020

A little bit too easy, but good for rookie

创建者 Harsh V K

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May 8, 2019

Should use Python 3 instead of Python 2

创建者 Deleted A

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Apr 3, 2021

sofware guideline is quiet useless

创建者 Yu G

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Feb 7, 2021

No idea what to write here...

创建者 Jorge C

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May 29, 2016

It is a very simple course.

创建者 Aditya A

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Apr 10, 2025

few quiz answers are wrong

创建者 Ricardo S

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Aug 10, 2021

Feels a bit out dated

创建者 RAGHUPATHI R R

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Jun 25, 2020

Good for knowledge

创建者 Fredick A S

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Apr 6, 2018

No python..

创建者 Nasimul J F

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Aug 16, 2020

THANK YOU.

创建者 Kai C

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Nov 24, 2015

Too easy

创建者 Geetha G

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Aug 15, 2021

good

创建者 Anshu R

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Sep 12, 2020

good

创建者 18103048 H - S C

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Sep 4, 2020

Good

创建者 MD. S K S

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Aug 22, 2020

cool

创建者 tarun v s n

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Jul 23, 2020

Good

创建者 Abhinav S

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May 10, 2020

good

创建者 Bindra B

•

Jun 20, 2021

学生对 University of Washington 提供的 Machine Learning Foundations: A Case Study Approach 的评价和反馈

课程概述

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3026 - Machine Learning Foundations: A Case Study Approach 的 3050 个评论（共 3,162 个）