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57:32Watch VideoHow to quickly deploy a desktop solution to support a remote workforce
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4:00Watch VideoAWS Case Study : SPI Cinemas - Indian cinema in the cloud
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4:18Watch VideoAWS Case Study : Tata Consumer Products - SAP & the perfect cup of tea
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3:48Watch VideoAWS Case Study : Ashok Leyland - Driving performance of connected vehicles
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9:48Watch VideoAWS_Origin_CUTOVER_LinkedIn_Teaser_REBRANDED_MASTER
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3:17Watch Video어린이 자폐증 검사를 위해 사용되는 AWS 기계 학습: AWS AIML 특집
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10:22Watch VideoAWS re:Invent 2019에서 발표한 Formula 1의 AWS 성공 사례: AWS AIML 특집
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2:14Watch VideoAWS 기계학습이 해결하는 다양한 문제들: AWS AIML 특집
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56:30Watch VideoStartup lessons from the GFC webinar - recording
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3:56Watch VideoAWS Case Study : AXA moves from payer to partner
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2:16Watch VideoA Conversation on Machine Learning with Amazon
Hear from Amazon leaders on lessons learned and best practices in machine learning based on the company’s own experience applying the technology to everything from personalization to forecasting.
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2:38:37Watch VideoBuilding computer vision applications on AWS
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45:12Watch VideoMachine learning deployment on AWS Best practices to decide what, where, and how (Level 300) - AWS I
Putting ML solutions in production requires knowing the what, where, and how of deploying ML models. One needs to know what the model is (resource requirements in production) and what the business con
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49:26Watch VideoAutomate machine learning From debugging deep learning to detecting model drift in production (Level
Machine learning (ML) involves more than just training models; developers need to debug these deep learning models as well as monitor their performance in production so that they serve their intended
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35:15Watch VideoImage classification with AWS DeepLens
Learn how to build a custom deep learning image classification model with AWS DeepLens, Amazon SageMaker, AWS IoT Greengrass, and other AWS services. The model can be used for a variety of purposes, i
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24:50Watch VideoBreaking language barriers with AI (Level 300) - AWS Innovate
Amazon brings natural language processing, speech recognition, text-to-speech capabilities, and machine translation within the reach of every developer. API-driven application services enable data sci
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31:40Watch VideoGet started with generative AI using AWS DeepComposer (Level 300) - AWS Innovate
In this session, learn how to use generative AI to create music with AWS DeepComposer. Get hands on with the world's first machine learning enabled musical keyboard and record a melody. Then, learn ho
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24:46Watch VideoMeeting security and compliance objectives when using Amazon SageMaker (Level 200) - AWS Innovate
Amazon SageMaker is a fully managed machine learning (ML) service that data scientists and developers use to build predictive and analytical models with their data. Datasets used for research may cont
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17:30Watch VideoLearn machine learning like an Amazonian (Level 100) - AWS Innovate
Machine learning (ML) and artificial intelligence are stealing headlines and sparking the imaginations of individuals working in big organizations and the startup community. Yet, one of the biggest ba
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27:35Watch VideoMachine learning powered analytics for contact centers (Level 300) - AWS Innovate
Today, most contact center analytics are based on phone switch activity or CRM call notes that are recorded by the contact center agent. However, these analytics typically lack insights into the actua
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