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立即開始,按照自己的計劃學習。

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中級

完成時間大約為10 小時

建議:14 hours/week...

英語(English)

字幕:英語(English)

您將學到的內容有

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    Key problems that Machine Learning can address and ultimately help solve.

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    How to build intelligent applications using Amazon AI services like Amazon Comprehend, Amazon Rekognition, Amazon Translate and others.

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    How to build, train and deploy a model using Amazon SageMaker with built-in algorithms and Jupyter Notebook instance.

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    Sneak peek into AWS DeepLens - The world’s first deep learning enabled video camera for developers.

您將獲得的技能

Artificial Intelligence (AI)Machine LearningAmazon SageMakerNatural Language Processing (NLP)Computer Vision

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為10 小時

建議:14 hours/week...

英語(English)

字幕:英語(English)

學習Course的學生是

  • Technical Leads
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教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 1 小時

Introduction to Machine Learning

5 個視頻 (總計 73 分鐘), 1 個測驗
5 個視頻
What is Machine Learning?9分鐘
What is Deep Learning?13分鐘
Understanding Neural Networks7分鐘
Machine Learning Algorithms Explained24分鐘
1 個練習
Quiz 15分鐘
2
完成時間為 1 小時

Machine Learning Pipeline

1 個視頻 (總計 60 分鐘), 1 個測驗
1 個視頻
1 個練習
Quiz 25分鐘
3
完成時間為 1 小時

Amazon AI Services: Computer Vision

4 個視頻 (總計 58 分鐘), 1 個測驗
4 個視頻
Introduction to AWS DeepLens8分鐘
Hands-on Rekognition: Automated Video Editing15分鐘
Deep Dive on Amazon Rekognition26分鐘
1 個練習
Quiz 35分鐘
4
完成時間為 1 小時

Amazon AI Services: NLP

5 個視頻 (總計 73 分鐘), 1 個測驗
5 個視頻
Introduction to Amazon Comprehend Medical7分鐘
Introduction to Amazon Translate9分鐘
Introduction to Amazon Transcribe9分鐘
Deep Dive with Amazon Transcribe29分鐘
1 個練習
Quiz 45分鐘
4.3
23 個審閱Chevron Right

來自Getting Started with AWS Machine Learning的熱門評論

創建者 GNOct 9th 2019

I've earned basic understanding on AI, ML, DL. I liked the videos with Amazon Deeplens device.

創建者 PBOct 1st 2019

Excellent overview of ML on AWS. A good introduction for beginners.

講師

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Blaine Sundrud

Senior Technical Trainer
AWS Training and Certification

關於 亚马逊网络服务系统

Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid and enterprise applications, from 44 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com....

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