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學生對 deeplearning.ai 提供的 Analyze Datasets and Train ML Models using AutoML 的評價和反饋

4.5
261 個評分
63 條評論

課程概述

In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. With Amazon SageMaker Clarify and Amazon SageMaker Data Wrangler, you will analyze a dataset for statistical bias, transform the dataset into machine-readable features, and select the most important features to train a multi-class text classifier. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot. Next, you will work with Amazon SageMaker BlazingText, a highly optimized and scalable implementation of the popular FastText algorithm, to train a text classifier with very little code. Practical data science is geared towards handling massive datasets that do not fit in your local hardware and could originate from multiple sources. One of the biggest benefits of developing and running data science projects in the cloud is the agility and elasticity that the cloud offers to scale up and out at a minimum cost. The Practical Data Science Specialization helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker. This Specialization is designed for data-focused developers, scientists, and analysts familiar with the Python and SQL programming languages and want to learn how to build, train, and deploy scalable, end-to-end ML pipelines - both automated and human-in-the-loop - in the AWS cloud....

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YA

2021年11月8日

Seriously I never expected to learn so many new methods, I am fascinated with the resources and the teaching techniques. Delivering information and great programmatic explanation.

HK

2021年7月7日

Excellent introductory course for Aws sagemaker. Justifies the specialization title as it is indeed practical oriented. Labs are of good quality as well.

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26 - Analyze Datasets and Train ML Models using AutoML 的 50 個評論(共 69 個)

創建者 Sam B C

2022年1月19日

I cannot proceed with the lab. It says I have reached the total lab usage time

創建者 Akshay B

2022年6月24日

T​he instructions were clear, provides a concise and to the point discussion concerning the topics being taught.

T​he coursework is well thought out, however, I would suggest possible improvements with two issues:

1​. The captions with the video are often unreliable/inaccurate which becomes a problem since the accent of one of the instructors was a little hard to understand and requires several rewatches to understand.

2​. The estimated times for the programme do not account for note making which increases the time by a lot since the videos discuss several topics in quick succession and the videos need to be paused to write notes often increasing the time several fold compared to what is suggested.

創建者 Tenzin T

2021年8月22日

Great! Highly recommended for emerging data scientist who are looking to gain practical knowledge on AWS.

創建者 Yin Q

2021年7月1日

The course is well organized and the lab is easy to follow. Thanks for making this course available!

創建者 Dylan B

2022年5月9日

Excellent instruction, made automating complicated machine learning problems seem easy!

創建者 Juan M

2022年2月16日

Easy step-by-step guide for beginners. Practical and theoretical usefull references.

創建者 Pitabas M

2021年7月25日

Gives a very good and quick introduction to the different features available in AWS.

創建者 Zuzana N

2022年4月11日

Very clear explanations. The course is not very difficult, it went really smoothly.

創建者 Endris M A

2022年3月18日

Excellent, Thank you Coursera for giving me this wornderfull opportunity.

創建者 Shankar K V

2021年11月20日

Amazing course to learn about various data science concepts and AWS tools

創建者 Serjesh S

2022年2月13日

Great way to understand the various component of Sagemaker echosystem

創建者 Pratik K

2021年10月12日

G​ood overview of general Data Science concepts and AWS Sagemaker.

創建者 Marry C C

2021年9月9日

Great courser to learn advance machine learning pipelines in AWS!

創建者 karthik v

2021年9月24日

This course really helped me understand about AWS services

創建者 Janzaib M

2022年4月17日

Very Hands On Practical Information for the Industry

創建者 Hamza A

2022年3月17日

great course ! thank you to all the instructors

創建者 Alcebiades A B F

2021年8月7日

Good contents if you study de jupyter notebooks

創建者 Flavio F

2021年10月8日

A​mazing. Best course regarding aws sagemaker.

創建者 Brenno M N S

2022年4月6日

I learnt a lot with this incredible course.

創建者 Viplove J G

2021年10月13日

It is a good course but i want to unenroll!

創建者 Stephen K

2022年4月1日

Excellent presentations with good content!

創建者 Santiago B

2022年2月11日

Es una buena introduccion al mundo de ML

創建者 Himasha J

2021年11月5日

great content , learn new aws services

創建者 Gourav R

2021年8月4日

great course ,real practical knowledge

創建者 Jonathan P

2022年6月29日

I​ found this course very helpful.