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

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

13,029 Bewertungen
3,100 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....



16. Okt. 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. Aug. 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:

601 - 625 von 3,026 Bewertungen für Machine Learning Foundations: A Case Study Approach

von Patrick F

15. Jan. 2016

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

von Stefan S

28. Sep. 2020

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

von saad y s

26. Juli 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.

von Subham M

24. Dez. 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.

von Itrat R

11. Juni 2016

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

von 林俊凡

27. Nov. 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.

von Samuel S d E S

24. Juli 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

von Stefan D

7. Sep. 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.

von Taavi K

16. März 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.

von Kunal K

22. Juni 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.

von Kunal G

10. Apr. 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

von Daniel P

14. Feb. 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.

von Evaldas B

3. Nov. 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

von Thibault S

5. Okt. 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.


31. Juli 2020

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

von Jesus B P

8. Nov. 2019

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

von Josué R S R G

3. Mai 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.

von P S K G

25. Aug. 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.

von Tairan Y

26. März 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.

von Ashwin R

10. Juli 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

von Sathiraju E

2. Okt. 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.

von Artem K

9. Mai 2016

Very good course.

Lots of hands on experience in Python. Clear explanations. Interesting real-world problems on real-world data.

Highly recommended.

von Badrish

26. Sep. 2017

Course teaches fundamentals of Ml without intimidating the learner. Key differentiator is case study based approach with just sufficient theory

von Egor K

19. Apr. 2017

A very good course for someone who want to enter the world of machine learning. makes perfect order in all the terminology and different methods.

von Tejas N P

15. Nov. 2016

The itself to sum up all that is going to happen in the specialization in the first course was awesome and you guys did it with too much coolness