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学生对 deeplearning.ai 提供的 Analyze Datasets and Train ML Models using AutoML 的评价和反馈

4.5
262 个评分
63 条评论

课程概述

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....

热门审阅

YA

Nov 8, 2021

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

Jul 7, 2021

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

筛选依据:

26 - Analyze Datasets and Train ML Models using AutoML 的 50 个评论(共 69 个)

创建者 Sam B C

Jan 19, 2022

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

创建者 Akshay B

Jun 24, 2022

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.

创建者 Tenzin T

Aug 22, 2021

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

创建者 Yin Q

Jul 1, 2021

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

创建者 Dylan B

May 9, 2022

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

创建者 Juan M

Feb 16, 2022

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

创建者 Pitabas M

Jul 25, 2021

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

创建者 Zuzana N

Apr 11, 2022

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

创建者 Endris M A

Mar 18, 2022

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

创建者 Shankar K V

Nov 20, 2021

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

创建者 Serjesh S

Feb 13, 2022

Great way to understand the various component of Sagemaker echosystem

创建者 Pratik K

Oct 12, 2021

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

创建者 Marry C C

Sep 9, 2021

Great courser to learn advance machine learning pipelines in AWS!

创建者 karthik v

Sep 24, 2021

This course really helped me understand about AWS services

创建者 Janzaib M

Apr 17, 2022

Very Hands On Practical Information for the Industry

创建者 Hamza A

Mar 17, 2022

great course ! thank you to all the instructors

创建者 Alcebiades A B F

Aug 7, 2021

Good contents if you study de jupyter notebooks

创建者 Flavio F

Oct 8, 2021

A​mazing. Best course regarding aws sagemaker.

创建者 Brenno M N S

Apr 6, 2022

I learnt a lot with this incredible course.

创建者 Viplove J G

Oct 13, 2021

It is a good course but i want to unenroll!

创建者 Stephen K

Apr 1, 2022

Excellent presentations with good content!

创建者 Santiago B

Feb 11, 2022

Es una buena introduccion al mundo de ML

创建者 Himasha J

Nov 5, 2021

great content , learn new aws services

创建者 Gourav R

Aug 4, 2021

great course ,real practical knowledge

创建者 Jonathan P

Jun 29, 2022

I​ found this course very helpful.