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12,511 Bewertungen
2,992 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....


19. Dez. 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.

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.

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2526 - 2550 von 2,910 Bewertungen für Machine Learning Foundations: A Case Study Approach

von yangxiaoqi

29. Jan. 2018


von Johan M

9. Juni 2016

Excellent course. Looking forward to the rest of the courses.

von David B

4. Dez. 2015

A nice introduction to the various machine learning concepts.

von P V P

28. Juni 2020

its very basic just used a python module in the whole period


3. Juni 2020

i understood many more in this course i understood properly.

von kumar p

15. Okt. 2015

Nice for learners who want to jump start in machine learning

von Swapnil A

6. Sep. 2020

Would have been a 5 start course if the content was updated

von Bingyue Z

9. Okt. 2020

A bit superficial, better to merge with following courses

von C M R

4. Aug. 2020


von Gopisetty k p

24. Juni 2016

This is very good material for machine learning starters.

von VJ

16. Nov. 2015

good material. good presentation skills of the instructor

von Le D N

11. Juli 2021

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

von João G B A V

4. Dez. 2017

Muito bom, os exemplos onlines poderiam ser interativos.

von Milan C

20. Okt. 2017

Nice overview about different Machine Learning concepts.

von Jjclof

17. Okt. 2016


Good teachers.

But a bit too simple. 4/5


von Markus M

10. Feb. 2016

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

von Dai W

3. Jan. 2016

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

von Lena M

22. Dez. 2015

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


12. Juli 2020

It is a good course and proffesors are explaining cool.

von Andrew G L

4. Aug. 2017

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

von Wangjun

29. Dez. 2016

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


11. Aug. 2020

The course about machine learning is awesome.

thank you

von Alain C

15. Feb. 2019

Technical setup is not easy, but great business cases.

von Mykhaylo K

30. Okt. 2020

More practical approach and nothing theoretical (yet)


29. Apr. 2020

its was very useful to learn about machine learning !