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Вернуться к Machine Learning Foundations: A Case Study Approach

Отзывы учащихся о курсе Machine Learning Foundations: A Case Study Approach от партнера Вашингтонский университет

Оценки: 13,055
Рецензии: 3,105

О курсе

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....

Лучшие рецензии


16 окт. 2016 г.

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 авг. 2019 г.

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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2901–2925 из 3,034 отзывов о курсе Machine Learning Foundations: A Case Study Approach

автор: Konstantinos L

8 янв. 2018 г.

Nice course but too easy. Assignments should be more difficult

автор: Seong H M

25 сент. 2021 г.

Problems and files and videos not updated base on the changes

автор: Felipe A S S

23 янв. 2021 г.

The libraries used on the course are a little bit unsopported

автор: Nadeem B

27 июля 2021 г.

Concepts and explanation is great but using outdated modules

автор: Atharv J

14 сент. 2020 г.

The course should be taught in pandas rather than graphlab.

автор: Max F

10 янв. 2016 г.

Not a bad course, but extremely basic. Was expecting more.

автор: Adrien L

2 февр. 2017 г.

No good without the missing course and capstone projects

автор: Aleksey C

11 дек. 2016 г.

....mmm fsdfg gsgsd sgsdgsdg sdsdgsdg ggsgsd sgdsdgsg

автор: HITESH D

15 июня 2020 г.

Installing software parts gave me a very hard time.

автор: Bastian M P

1 июня 2016 г.

Could go a little more in detail on the algorithms.

автор: Jaime O

31 янв. 2017 г.

The Deep Learning part needs to be improved

автор: Chen S

26 окт. 2015 г.

Very basic, the quizzes aren't clear enough

автор: Li-Pu C

29 окт. 2020 г.

A little bit too easy, but good for rookie

автор: Harsh V K

8 мая 2019 г.

Should use Python 3 instead of Python 2

автор: Phú L L H

3 апр. 2021 г.

sofware guideline is quiet useless

автор: Yu G

7 февр. 2021 г.

No idea what to write here...

автор: Jorge C

29 мая 2016 г.

It is a very simple course.

автор: Ricardo S

10 авг. 2021 г.

Feels a bit out dated


25 июня 2020 г.

Good for knowledge

автор: Fredick A S

6 апр. 2018 г.

No python..

автор: Nasimul J F

16 авг. 2020 г.


автор: Kai C

24 нояб. 2015 г.

Too easy

автор: Geetha G

16 авг. 2021 г.


автор: Anshu R

12 сент. 2020 г.


автор: sakthivel

4 сент. 2020 г.