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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

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.

MK

Jul 20, 2019

A great course, really designed to understand the underlying core concepts of machine learning using real-life examples which takes you through all that with little to no programming skills required!

筛选依据：

851 - Machine Learning Foundations: A Case Study Approach 的 875 个评论（共 3,159 个）

创建者 Srinivas C

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Apr 30, 2018

This course was really amazing. I got to learn a lot of new things. required to kick start advanced courses in ML.

创建者 Jaime M

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Oct 17, 2017

This brief introduction to ML techniques is really awesome. I have learned the intuition behind each ML algorithm.

创建者 Stéphanie G

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Jul 13, 2017

Amazing course, great structure for the first course of the specialization. Can't wait to start the second course!

创建者 Anjali C

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Nov 19, 2015

Learned a lot !!

Looking forward to other courses in specialization :)

Appreciate the enthusiasm of both professors.

创建者 Rifki W

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Jun 25, 2020

its a great start for learning ML. You will learn the basic and intermediate ML. Thank you Washington university.

创建者 Ahmad A

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Feb 10, 2017

I really enjoyed the course. I am interested to continue in this specialization and conduct the Capstone project.

创建者 David P

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Feb 8, 2017

Amazing introductory course! I only wish that Coursera was still offering courses 5 and of the specialization :(

创建者 Javier P

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Oct 28, 2016

It was a great course. I learned many things during this course. Btw, the teachers are really cool... super cool.

创建者 S P

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Mar 2, 2016

Excellent course - very informative. Thanks!

Some areas could do with a little more details just as deep learning.

创建者 ANGELICA D C

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Aug 31, 2020

Hubo una ocasión en que no se nos proporcionaron los datos correctos de un set de datos, fue en el último curso.

创建者 Gowtham A B

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Nov 22, 2019

Very good course to kick start in machine learning domain. The assignments and course contents were really good.

创建者 Victor S

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Dec 7, 2017

It was fun putting the theory in to practice and 'play' with the models and data to udnerstand what is going on.

创建者 Balakrishnan

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Nov 27, 2015

Like the approach of introducing the subjects with real use cases and have a detailed session on future courses.

创建者 MIGUEL A M B

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Nov 12, 2022

una muy buena aproximación para manejar python, aprender los fundamentos del machine learning y deep learning.

创建者 Daniel R

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Oct 8, 2020

Great course on Machine Learning guided by great teachers that will ensure your learning experience in Coursera

创建者 Kishan P

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May 18, 2020

Awesome Course both of the instructor is very good in his teaching and very friendly teaching, well structured.

创建者 SOUVIK D

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Nov 4, 2018

awesome course. 100% recommended for beginners. I just loved it. Thanks to Coursera for providing such courses.

创建者 Rashi K

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Dec 13, 2015

It was pretty basic but worth what was needed for a head start in machine learning. I enjoyed the course a lot.

创建者 abdulkarim k

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Mar 26, 2020

Thanks Carlos and Emily very much for this wonderful course. Your way of presenting the topics is very cool :)

创建者 sohan l b

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Mar 4, 2019

This course is good for beginners.This course covers hands-on as well as Basic theory and their applications .

创建者 James Z

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Feb 29, 2016

A great lesson to learn about machine learning. Two teachers are very funny and the quizzes are not very hard.

创建者 K C

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Jan 14, 2021

Good introductory course. Gives a flavor of the various topics and sets you up for the next in-depth courses.

创建者 Arindam M

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Mar 28, 2019

It was a really nice course. It will be further helpful if the regression algorithms are discussed. Thank You

创建者 Rahul K

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Sep 11, 2018

The lecturer's teaching is well organized and presented, which helped me to accept the new knowledge quickly.