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机器学习基础 | https://amazonaws-china.com/cn/blogs/china/machine-learning-foundations/ | | | |
机器学习为数字化转型插上翅膀 | https://amazonaws-china.com/cn/blogs/china/machine-learning-plugs-wings-for-digital-transformation/ | | | |
入门：Big Data on AWS 培训资源 | AWS 大数据博客 | https://amazonaws-china.com/cn/blogs/china/getting-started-training-resources-for-big-data-on-aws/ | | | |
AWS 教您手把手玩转 Apache Superset 可视化 Amazon S3 里的数据 | https://amazonaws-china.com/cn/blogs/china/aws-teaches-you-to-play-with-apache-superset-to-visualize-the-data-in-amazon-s3/ | | | |
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通过 Rekognition 实现无服务器智能相册 | https://amazonaws-china.com/cn/blogs/china/realizing-intelligent-album-without-server-by-rekognition/ | | | |
十分钟轻松使用 Scala 在 Apache Spark 部署深度学习模型 | https://amazonaws-china.com/cn/blogs/china/deep-learning-with-spark-in-deep-java-library-in-10-minutes/ | | | |
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基于 Amazon SageMaker 进行汽车型号的图像识别——一个基于深度学习迁移学习的端到端图像分类器 | https://amazonaws-china.com/cn/blogs/china/image-recognition-of-car-models-based-on-amazon-sagemaker/ | | | |
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在 Amazon SageMaker 中使用 XGBoost 来实现商业赋能 | https://amazonaws-china.com/cn/blogs/china/use-xgboost-in-amazon-sagemaker-for-commercial-empowerment/ | | | |
在 SageMaker 临时实例上调度 Jupyter notebooks | https://amazonaws-china.com/cn/blogs/china/scheduling-jupyter-notebooks-on-sagemaker-ephemeral-instances/ | | | |
使用 Spring Boot 和 DJL(Deep Java Library) 轻松搭建企业级机器学习微服务 | https://amazonaws-china.com/cn/blogs/china/use-spring-boot-and-djl-deep-java-library-to-easily-build-enterprise-level-machine-learning-microservices/ | | | |
为什么使用 Docker 容器进行机器学习开发 | https://amazonaws-china.com/cn/blogs/china/why-use-docker-containers-for-machine-learning-development/ | | | |
使用 Amazon EC2 Spot 实例和 Amazon EMR 运行 Apache Spark 应用程序的最佳实践 | https://amazonaws-china.com/cn/blogs/china/best-practices-for-running-apache-spark-applications-using-amazon-ec2-spot-instances-with-amazon-emr/ | | | |
AWS 如何将机器学习送到每位开发者和BI分析师手中 | https://amazonaws-china.com/cn/blogs/china/how-aws-is-putting-machine-learning-in-the-hands-of-every-developer-and-bi-analyst/ | | | |
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玩转GPU实例 – 我的Linux 工具箱 | https://amazonaws-china.com/cn/blogs/china/play-with-gpu-instances-my-linux-toolbox/ | | | |
玩转GPU实例 – 我的Linux 工具箱之三 – 系统优化 | https://amazonaws-china.com/cn/blogs/china/using-rekognition-realize-serverless-intelligent-album-playing-with-gpu-instance-iii-system-optimization/ | | | |
玩转 GPU 实例 – 我的 Linux 工具箱之二 – 基础设置 | https://amazonaws-china.com/cn/blogs/china/play-with-gpu-instance-my-linux-toolboxii-basic-settings/ | | | |
玩转 GPU 实例之终结篇 – 深度学习的工具与框架 | https://amazonaws-china.com/cn/blogs/china/play-the-end-of-gpu-instance-tools-and-framework-of-deep-learning/ | | | |
玩转GPU实例之系统工具 – NVIDIA 篇 | https://amazonaws-china.com/cn/blogs/china/play-with-system-tools-of-gpu-instance-nvidia-chapter/ | | | |
使用 AWS Glue 和 Amazon S3 构建数据湖基础 | https://amazonaws-china.com/cn/blogs/china/use-aws-glue-amazon-s3-build-datalake/ | | | |
使用 Amazon Transcribe 为视频增加中文字幕 | https://amazonaws-china.com/cn/blogs/china/adding-chinese-subtitle-with-amazon-transcribe/ | | | |
使用 Amazon SageMaker 运行分布式 TensorFlow 训练 | https://amazonaws-china.com/cn/blogs/china/running-distributed-tensorflow-training-with-amazon-sagemaker/ | | | |
使用 Amazon Athena 分析 S3 中的数据 | https://amazonaws-china.com/cn/blogs/china/use-amazon-athena-analysis-s3-data/ | | | |
使用 Amazon Athena 从您的 SageMaker 笔记本运行 SQL 查询 | https://amazonaws-china.com/cn/blogs/china/run-sql-queries-from-your-sagemaker-notebooks-using-amazon-athena/ | | | |
使用 AWS CDK 自动化部署自动生成 PDF 缩略图 Serverless 服务 | https://amazonaws-china.com/cn/blogs/china/automatically-generate-pdf-thumbnail-serverless-service-using-aws-cdk-automated-deployment/ | | | |
通过 Amazon Athena 进行无服务器架构的大数据分析 | https://amazonaws-china.com/cn/blogs/china/big-data-analysis-with-serverless-architecture-via-amazon-athena/ | | | |
AWS Lake Formation 入门 | https://amazonaws-china.com/cn/blogs/china/getting-started-with-aws-lake-formation/ | | | |
Amazon Aurora 新功能 – 直接通过数据库使用机器学习 | https://amazonaws-china.com/cn/blogs/china/new-for-amazon-aurora-use-machine-learning-directly-from-your-databases/ | | | |
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