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Отзывы учащихся о курсе Getting Started with AWS Machine Learning от партнера Amazon Web Services

4.5
звезд
Оценки: 6,029
Рецензии: 1,449

О курсе

Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career. This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice....

Лучшие рецензии

VV
6 июня 2020 г.

Demonstration is very fast and in week five one video is 70 minutes long. It can be divided in to several short videos. Seeing a long video is creating a boredom. Otherwise it is a very nice course.

AN
12 апр. 2020 г.

The course materials and lecture delivery was just one of a kind,I have learnt a complete skill on Machine Learning and its Algorithms.I hope this will lead me towards a next level of Data science.

Фильтр по:

1301–1325 из 1,463 отзывов о курсе Getting Started with AWS Machine Learning

автор: pritam k

14 окт. 2020 г.

good

автор: Subhajit C

10 авг. 2020 г.

good

автор: pooja k

23 июля 2020 г.

Good

автор: NETHAJI T P

14 июля 2020 г.

good

автор: Mohamed i M

13 июля 2020 г.

Nice

автор: Satheesh P

8 июля 2020 г.

Good

автор: IT5028_Pinkesh M

7 июля 2020 г.

nice

автор: MADDALI R R

7 июля 2020 г.

good

автор: Sanket G

4 июля 2020 г.

good

автор: KOLLU P K R

4 июля 2020 г.

good

автор: nilabha b

13 июня 2020 г.

Good

автор: jigyasa j

7 июня 2020 г.

good

автор: Koustav M

7 июня 2020 г.

good

автор: Mahima s

4 июня 2020 г.

good

автор: Mohini C

30 мая 2020 г.

good

автор: Harshal B

21 мая 2020 г.

Good

автор: PINKU P

21 апр. 2020 г.

good

автор: yash

18 апр. 2020 г.

cool

автор: Aditya r r

14 апр. 2020 г.

FINE

автор: German S

1 июля 2020 г.

This course is too focused in how to implement machine learning for business using AWS products, it can be disappointing for data scientists since they show the use of AWS tools skipping over a lot of machine learning fundamentals.

Additionally, there is no code assignments and the quizzes are about telling what AWS tool is the best choice for different business problems.

I learned interesting things and tools in this course, but because I have prior knowledge of data science and machine learning. Additionally I spent some time doing my own tests on AWS Sagemaker by myself.

автор: Ana T

27 окт. 2019 г.

This is an okay introduction to ML and AI, but the overall course content could have been consolidated. As it is right no it feels like a collection of AWS videos already available on the internet, with some of the content even duplicated. The hands-on labs do not really feel hands-on and some key concepts are only brushed upon, while the quizzes are sometimes not even related to the course content. On the introduction to precision and accuracy for example, the formula was incorrect in the video and the quiz treated recall, which was not even explained in the course.

автор: Maulishri B

6 мая 2020 г.

The course was very well communicated. But I was really disappointed that it was not communicated about the minor details like to close all and delete all instances of any usage of sagemaker profiles, usage of s3 bucket or any other service. Since I did not delete these, I was charged a huge amount. This is not at all acceptable and I was very disappointed that such an important detail was not communicated. Very very disheartening.

автор: Prateek K

6 мая 2020 г.

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was related to ML, only in the last week. No doubt, Sagemaker and other softwares are good, but we need to have more examples and/or at least more details of these frameworks. like which file size would used for what purpose.(your nomenclature needs to be discussed more unless they're not strategically discussing it.)

автор: Hiren K

2 июля 2020 г.

Some videos were difficult to understand. Also, there is some redundancy between some of videos (describing same functionality, etc.). And, it'd be good to get a big picture view of what all services are available, and how they are related/different, and how can they be used in real-life situations (introducing of one thing at a time makes it bit difficult)

автор: Robert D L C

2 июля 2020 г.

The course provided a lot of good information about the AWS products which I appreciate, however, I could've used some hands-on examples to follow along. The SAS certification course offered in Coursera has a free environment and videos walk you through examples. Also, the quizzes have too few questions to accurately test user knowledge gained in the videos.