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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

4.6
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

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.

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:

651 - Machine Learning Foundations: A Case Study Approach 的 675 个评论(共 3,159 个)

创建者 Artur R

Dec 22, 2015

I passed lots of Coursera courses, but this one is best of the best) Teachers - Carlos and Emily are magnificent, amazing lectors) I'm really impressed.

创建者 Yousra R

Jan 30, 2021

Not only I have learned the basis about machine learning thanks to this course, but also improved my skills in python programing for machine learning !

创建者 Manishkumar R

May 1, 2020

Really Nice and good to start with. All words are positive. How much Positive is my rating now? Shall we asses it with the Classification approach? :-)

创建者 Patrick F

Jan 15, 2016

The course offers a great practical approach using sophisticated software. As a participant, I gain valuable knowledge on a wide range of applications.

创建者 Stefan S

Sep 28, 2020

A great introduction to the corresponding specialization with amazing professors that know their subject and find a creative and fun way for teaching.

创建者 saad y

Jul 25, 2020

the was very good start in this career -machine leaning - and the instructors were very clear which made me face no problems going on in this course.

创建者 Subham M

Dec 24, 2016

In this course, a basic introduction to different machine learning concepts are provided with ease of understanding to those who are new in the field.

创建者 Itrat R

Jun 11, 2016

Fabulous Course!!! The case study approach is very effective, since it embeds the concept by applying the learned material in building an application.

创建者 林俊凡

Nov 27, 2015

It's a very good front-door for machine learning learner, especially for the fresh hand. I am looking forward for the further studying in this course.

创建者 Краснобаев Н С

Jul 21, 2024

This course was very usefull. I have got range of knowledge in Machine learning. Teachers explain complex things in simple way. Thanks for their job.

创建者 Samuel S d E S

Jul 24, 2020

Incredible course. I'm also a USP student and I do believe that this kind of class is the future of teaching. Thanks for the knowledge, Samuel Santos

创建者 Stefan D

Sep 7, 2016

Great start when you want to get an overview about machine learning. They work a lot with examples that help to understand all mathematics behind it.

创建者 Taavi K

Mar 15, 2016

Great examples. This course would be suitable for someone who just wants a quick overview, even if they don't plan on doing the whole specialization.

创建者 Kunal K

Jun 22, 2020

The course was amazing. I especially like the way both the instructors are teaching. It was a lot of fun going through the course. Tanks a lot guys.

创建者 Kunal G

Apr 10, 2019

it is a very good course if you are a newbie in this area and only know a bit of python, just be careful not to use graphlab, use turicreate instead

创建者 Daniel P

Feb 14, 2018

Very good presentation and explanations! It's a perfect course to take if you're a beginner or want to refresh basic notions about machine learning.

创建者 Evaldas B

Nov 3, 2017

Great basics but a shame that python2 is still used in the course. Also graphlab is not the latest thing in the market. But overal very good course

创建者 Thibault S

Oct 5, 2016

Ce cours était passionnant. Les professeurs sont pédagogues et amusants. J'ai appris beaucoup de chose à un rythme qui correspondait à mes attentes.

创建者 ABHINAND J P

Jul 31, 2020

Awesome course with real life application. Really appreciate the way the tutors have given a perception about the practicality of machine learning.

创建者 Jesus B P

Nov 8, 2019

Great approach with introduction to the thoery behind the models and easy to understand cases. Looking forward to continue with the specialisation.

创建者 Josué R S R G

May 3, 2019

This course is a really good introduction to machine learning. I like this case study approach. The context makes the content easier to understand.

创建者 P S K G

Aug 25, 2020

I have learnt basic ML algorithms, How they perform with given data. Very helpful has a beginner to me.

Thank you for providing this great course.

创建者 Tairan Y

Mar 26, 2020

A good approach to understand some basic machine learning methods as well as learn the fundamental Python practices. A good starting point for DS.

创建者 Ashwin R

Jul 10, 2019

The instructors are just amazing. The way they taught, I never felt as if I was taking the course online. Simply Hats off. And of course Thank You

创建者 Sathiraju E

Oct 2, 2018

A very well organised course with short videos explaining concepts and also giving a hands-on feel.

Thank you Carlos and Emily. Thank you Coursera.