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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.

RM

Feb 2, 2022

I was very disappointed with the exclusion of the final courses and the capstone project. The most interesting part of specialization no longer exists and no plausible justification has been given.

筛选依据：

1201 - Machine Learning Foundations: A Case Study Approach 的 1225 个评论（共 3,162 个）

创建者 Julien B

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Jan 5, 2017

Dur a suivre en anglais mais très intéressant et très bien structuré

创建者 Theo L

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Sep 15, 2016

A solid introduction to ML. Note this a basic, foundational course.

创建者 AP

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Mar 20, 2016

Easy introduction aimed at beginners, with good content and practice

创建者 Marcos B C (

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Jan 12, 2016

Great course, with very interesting examples and clear explanations.

创建者 Assma A

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Nov 15, 2020

Thank you very much. I really appreciate your kindness and smile :)

创建者 TUSHAR A

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May 25, 2020

Amazing course that taught me a lot of concepts i don't know before

创建者 Kireeti C

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Apr 25, 2020

Really helpful for many students ,lucky to get this course for free

创建者 Jacob W

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Jan 14, 2020

Excellent course! Very well laid out and explained in simple terms!

创建者 S. M

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Nov 6, 2019

nice course. It gives an overview about ML and using Python for it.

创建者 Paulo B S

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Nov 14, 2017

Excelent course. Carlos and Emily are brilliant in their trainings.

创建者 Luiz A

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Aug 13, 2017

Excelent and the enthusiams of lecturesr and helpers is contagious.

创建者 Yuxi D

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Oct 30, 2015

It's a really good course! Easy to follow and instructors are nice!

创建者 Dr. A K B

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Aug 15, 2020

This course is very useful to real time implementation of problems

创建者 Lixuanwu Z

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Mar 29, 2020

Awesome and provides me some useful experience in machine learing.

创建者 Manjun W

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Jun 14, 2018

Very helpful. This is a good preparation for the advanced courses.

创建者 Alfred D

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Feb 9, 2018

Very good introductory course , the examples were very interesting

创建者 Xiuyuan C

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Jan 16, 2017

Definitely a good choice for entering the area of machine learning

创建者 Daniel M

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Jan 11, 2017

Muy buen curso. Muy completo en la parte teórica y en la práctica.

创建者 Memo R

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Oct 16, 2016

great class!!, I love how passionate you guys are about the topics

创建者 Jiaqi L

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Apr 5, 2016

Very pratical and informative. Best Machine Learning course I had.

创建者 Aarshay J

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Mar 9, 2016

Its a wonderful learning experience. I really enjoyed the course!!

创建者 Tang K H

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Sep 26, 2015

I like this course and I like using Python and GraphLab Create. :)

创建者 Viktor K

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May 14, 2021

Great Teaching!!! Easily Helps to understand the Machine Learning

创建者 Karthikeya K

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Jul 25, 2020

Best way to learn about ML via creating case study while learning