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

13,101 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....



18. Aug. 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.


19. Dez. 2016

Great course!

Emily 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.

Filtern nach:

2526 - 2550 von 3,049 Bewertungen für Machine Learning Foundations: A Case Study Approach

von ashish

2. Mai 2018

von Mohit A

12. Nov. 2019

von Michele P

5. Sep. 2017

von Santosh K W

16. Feb. 2016

von Cristian C H M

20. Juni 2020

von Jeff L

29. Nov. 2015

von Tomáš Z

30. Nov. 2018

von Jonathan E

15. Aug. 2017

von Sergey G

23. März 2019

von DeepLyrics

11. Dez. 2016

von Alfonso M

26. März 2016

von E. M S

17. Mai 2017


17. März 2021

von Tomas O

8. Nov. 2019


14. Nov. 2017

von Stefan S

4. Jan. 2016

von Stanislav B

18. Apr. 2020

von weimin l

27. Okt. 2016

von Rishabh P

26. Juli 2020

von Brent R

29. Jan. 2017

von Aaron W

1. Jan. 2016

von Patrik L

17. Juli 2017

von Tung N

7. Juni 2016

von KAI S E

3. Juni 2016

von Thomas S

29. Mai 2016