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Retour à Machine Learning Foundations: A Case Study Approach

Avis et commentaires pour d'étudiants pour Machine Learning Foundations: A Case Study Approach par Université de Washington

13,082 évaluations
3,116 avis

À propos du cours

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....

Meilleurs avis


16 oct. 2016

Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much


18 août 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.

The forums and discussions were really useful and helpful while doing the assignments.

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2626 - 2650 sur 3,043 Avis pour Machine Learning Foundations: A Case Study Approach

par R C

9 oct. 2020

A bit superficial, better to merge with following courses

par C M R

4 août 2020


par Gopisetty k p

24 juin 2016

This is very good material for machine learning starters.

par VJ

16 nov. 2015

good material. good presentation skills of the instructor

par Le D N

11 juil. 2021

E​verything is good except the library used in Course ;(

par João G B A V

4 déc. 2017

Muito bom, os exemplos onlines poderiam ser interativos.

par Milan C

20 oct. 2017

Nice overview about different Machine Learning concepts.

par Jjclof

17 oct. 2016


Good teachers.

But a bit too simple. 4/5


par Markus M

10 févr. 2016

Good structure, but maybe a bit too basic and slow pace.

par Dai W

3 janv. 2016

I cannot review my completed homework. It's very boring.

par Lena M

22 déc. 2015

Loved the course, the teachers, the case study approach.


12 juil. 2020

It is a good course and proffesors are explaining cool.

par Andrew G L

4 août 2017

Good introduction. Don't expect more than that though.

par Wangjun

29 déc. 2016

This course is very good.Thankyou for all the teachers.


26 nov. 2021

the experiance is good and assignments are interesting


11 août 2020

The course about machine learning is awesome.

thank you

par Alain C

15 févr. 2019

Technical setup is not easy, but great business cases.

par Mykhaylo K

30 oct. 2020

More practical approach and nothing theoretical (yet)


29 avr. 2020

its was very useful to learn about machine learning !

par rajeev r

1 oct. 2019

wonderful experience. It's like doing a live project.

par Abdulrahman M A K

10 juil. 2019

Awesome instructors and great knowledge and practices

par Divya v M

28 mai 2016

Great overview and broad foundation of all techniques

par Jorge S N

9 avr. 2016

El más intuitivo curso de ML que he visto en Coursera


7 juin 2020

Average Course, don't have much expectations from it

par Bhakthavatsala R

16 juin 2018

Interactive and very interesting. good for beginners