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Вернуться к Machine Learning Pipelines with Azure ML Studio

Отзывы учащихся о курсе Machine Learning Pipelines with Azure ML Studio от партнера Coursera Project Network

4.6
звезд
Оценки: 302
•
Рецензии: 59

О курсе

In this project-based course, you are going to build an end-to-end machine learning pipeline in Azure ML Studio, all without writing a single line of code! This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000. The estimator used in this project is a Two-Class Boosted Decision Tree classifier. Some of the features used to train the model are age, education, occupation, etc. Once you have scored and evaluated the model on the test data, you will deploy the trained model as an Azure Machine Learning web service. In just under an hour, you will be able to send new data to the web service API and receive the resulting predictions. This is the second course in this series on building machine learning applications using Azure Machine Learning Studio. I highly encourage you to take the first course before proceeding. It has instructions on how to set up your Azure ML account with $200 worth of free credit to get started with running your experiments! This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии

AT
5 июня 2020 г.

I have learn most quality things and practical knowledge with machine learning pipelines with Azure ML studio which is very useful for our future & It can help me in my life.

PK
15 сент. 2020 г.

I m learn many things in the coursera. This is one of the best app provide for everyone.

Фильтр по:

1–25 из 57 отзывов о курсе Machine Learning Pipelines with Azure ML Studio

автор: Georgina P

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11 апр. 2020 г.

It's a good first aproach for the topic. Well explained, fast and interesting. I recomend it (my 3 stars is due that I have previous knowleadge so I didn't learn a lot yet practised).

автор: Rushikesh S

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14 авг. 2020 г.

Great Teaching!!! Easily Helps to understand the AzureML Pipleline

автор: Adrian R N

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7 июня 2020 г.

Very interesting, the only issue was the visualization on my laptop screen (less than a half)

автор: Ayush T

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6 июня 2020 г.

I have learn most quality things and practical knowledge with machine learning pipelines with Azure ML studio which is very useful for our future & It can help me in my life.

автор: Sruthi a

•
13 сент. 2020 г.

class was understandable.simple and helped

thank you for this course

автор: Messias U

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23 янв. 2021 г.

I could not access this course because I am outside the US.

автор: Manish B

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14 сент. 2020 г.

Excellent speed and great clarity of Instructions. Two requests: Please add the setup project link on the first page and Review the answer to Quiz Q5.

I would highly recommend this course to people who have believe ML is beyond them as once they do this they will gain real hands-on confidence and aim for more things. Many thanks

автор: Mustafa A

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18 сент. 2020 г.

This Page Is so Much Excellent #MySalesWays Big Like For This Page and Recommended and Every one Like and Share This Page,in Friends family etc.#MySalesWays Thanks Once Again That You Make a very Beautiful Page For Us. 💙💛🌸🌸🌺🌺🍃🌱🌷💐🌿🌱💓#MySalesWays,

автор: Suhaimi W C

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25 сент. 2020 г.

Great guided project to help me better understand how to use Machine Learning Pipelines and prediction using Azure ML studio. Awesome example of project. Instructor is great guiding students with step by step instructions that are easy to follow.

автор: Prabhleen k

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16 сент. 2020 г.

I m learn many things in the coursera. This is one of the best app provide for everyone.

автор: Gaganjotsingh

•
18 сент. 2020 г.

This is a best app for everyone and learn many things about our courses

автор: Nikhil P

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13 сент. 2020 г.

What a nice way to learn and do the practical along with the instructor

автор: Ramachandra A V

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15 февр. 2021 г.

It gives the most insight into machine learning pipeline.

автор: Nawas N

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14 февр. 2021 г.

Well crafted and delivered excellently in short time.

автор: Anthony

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24 янв. 2021 г.

Easy to understand and follow.

автор: MD R I

•
13 сент. 2020 г.

Really Helpful course for me

автор: Hanifah N A

•
21 дек. 2020 г.

Amazing! Thank you!

автор: RANJANI R

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10 авг. 2020 г.

it is useful for me

автор: Rishabh R

•
6 мая 2020 г.

Excellent project

автор: Pal S

•
17 сент. 2020 г.

Machine kearning

автор: Shani k

•
16 сент. 2020 г.

Learning machine

автор: JOGAR B T

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2 янв. 2021 г.

A great course!

автор: AJIT P

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16 сент. 2020 г.

Useful lesson

автор: Nikhil K

•
16 сент. 2020 г.

Good course.

автор: HAVIN I M H H

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12 февр. 2021 г.

good course

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