Chevron Left
Zurück zu Machine Learning Foundations: A Case Study Approach

Kursteilnehmer-Bewertung und -Feedback für Machine Learning Foundations: A Case Study Approach von University of Washington

4.6
Sterne
11,714 Bewertungen
2,806 Bewertungen

Über den Kurs

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....

Top-Bewertungen

SZ

Dec 20, 2016

Great course!\n\nEmily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.

PM

Aug 19, 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.

Filtern nach:

2401 - 2425 von 2,723 Bewertungen für Machine Learning Foundations: A Case Study Approach

von Wangjun

Dec 29, 2016

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

von TAMATAM V S P R

Aug 11, 2020

The course about machine learning is awesome.

thank you

von Alain C

Feb 15, 2019

Technical setup is not easy, but great business cases.

von SATYA P A

Apr 29, 2020

its was very useful to learn about machine learning !

von Rajeev R

Oct 01, 2019

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

von Abdulrahman M A K

Jul 10, 2019

Awesome instructors and great knowledge and practices

von Divya v M

May 29, 2016

Great overview and broad foundation of all techniques

von Jorge S N

Apr 09, 2016

El más intuitivo curso de ML que he visto en Coursera

von HARSHIT J

Jun 07, 2020

Average Course, don't have much expectations from it

von Bhakthavatsala R

Jun 16, 2018

Interactive and very interesting. good for beginners

von Fenjin W

Apr 15, 2016

Great course! Hope the slides gets better annotated.

von Prashant D

Jun 16, 2020

The course was awesome and so does the Instructors!

von Yagyansh S K

Dec 03, 2016

Awesome Teaching Technique Used! Kudos To The Team!

von Mitali C

Jun 10, 2020

It was Amazing course ,with amazing instructors :)

von Avinash P M

Dec 13, 2016

Assignments could have been little more difficult.

von Alvin B K

Aug 17, 2020

Carlos and Emily are really cool. They're cool 😀

von 吴青

Dec 06, 2017

didn't reach my expectation but still quite good.

von Albert Z

Feb 06, 2016

Hands on should have been more involved/dificult.

von Omar H F A

Jul 03, 2020

Very Good introductory course to the field of ML

von Gopinath T

May 14, 2019

Well structured course with detailed explanation

von A S P

Jan 16, 2018

A bit light on details but a great first course!

von Qishen S

May 25, 2017

A good overview of ML and tutorial for graphlab.

von Harsh R

May 18, 2020

The course is little bit outdated.

please update

von Md S H

Nov 18, 2018

A must do course to start with Machine Learning

von Steve K

Jan 21, 2019

great class to learn machine learning hands on