LinkedIn - Amazon Web Services Machine Learning Essential Training 2023-1

磁力链接/BT种子名称

LinkedIn - Amazon Web Services Machine Learning Essential Training 2023-1

磁力链接/BT种子简介

种子哈希：a66b371b04fb6a9372066322ad64588c897c1365
文件大小：528.85M
已经下载：72次
下载速度：极快
收录时间：2024-10-06
最近下载：2024-10-28

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文件列表

  • 05 - 4. Machine Learning Virtual Servers/06 - Work with MXNet in Databricks.mp4 31.3 MB
  • 05 - 4. Machine Learning Virtual Servers/04 - Work with MXNet in SageMaker.mp4 29.5 MB
  • 04 - 3. Machine Learning Platforms/02 - Understanding and using AWS Machine Learning.mp4 29.4 MB
  • 05 - 4. Machine Learning Virtual Servers/09 - Work with EMR for machine learning.mp4 26.0 MB
  • 05 - 4. Machine Learning Virtual Servers/07 - Set up the AWS Deep Learning AMIs.mp4 24.9 MB
  • 05 - 4. Machine Learning Virtual Servers/08 - Work with the AWS Deep Learning AMI.mp4 24.5 MB
  • 03 - 2. Machine Learning API Services/05 - Predict using AWS Rekognition for images.mp4 22.4 MB
  • 05 - 4. Machine Learning Virtual Servers/05 - Databricks on AWS.mp4 20.0 MB
  • 04 - 3. Machine Learning Platforms/05 - Get data with SageMaker notebook.mp4 19.7 MB
  • 05 - 4. Machine Learning Virtual Servers/03 - Work with Gluon for MXNet in SageMaker.mp4 19.0 MB
  • 03 - 2. Machine Learning API Services/01 - Setup for AWS machine learning APIs.mp4 17.3 MB
  • 06 - 5. Machine Learning Architectures/05 - Best practices for algorithms and architectures.mp4 17.3 MB
  • 03 - 2. Machine Learning API Services/04 - Predict using AWS Lex for chatbots.mp4 17.2 MB
  • 03 - 2. Machine Learning API Services/02 - Predict using AWS Comprehend for NLP.mp4 16.3 MB
  • 04 - 3. Machine Learning Platforms/04 - Create Jupyter notebooks with SageMaker.mp4 16.2 MB
  • 02 - 1. Machine Learning on AWS/03 - Which algorithm should I use.mp4 15.2 MB
  • 04 - 3. Machine Learning Platforms/09 - Selecting algorithm for model training.mp4 14.1 MB
  • 02 - 1. Machine Learning on AWS/06 - A classifier in action Amazon Macie.mp4 12.6 MB
  • 03 - 2. Machine Learning API Services/03 - Predict using AWS Polly text-to-speech.mp4 12.1 MB
  • 04 - 3. Machine Learning Platforms/06 - Train model with SageMaker job.mp4 12.0 MB
  • 04 - 3. Machine Learning Platforms/08 - Use model from SageMaker endpoint.mp4 11.3 MB
  • 06 - 5. Machine Learning Architectures/04 - VariantSpark and EMR for genomic research.mp4 10.8 MB
  • 02 - 1. Machine Learning on AWS/02 - Business scenarios for machine learning.mp4 10.4 MB
  • 05 - 4. Machine Learning Virtual Servers/01 - Understanding ML virtual servers.mp4 9.4 MB
  • 04 - 3. Machine Learning Platforms/03 - Understanding SageMaker.mp4 9.4 MB
  • 04 - 3. Machine Learning Platforms/01 - Understanding ML platforms.mp4 9.2 MB
  • 02 - 1. Machine Learning on AWS/01 - AWS Machine Learning concepts.mp4 9.1 MB
  • 04 - 3. Machine Learning Platforms/10 - Advanced use of SageMaker.mp4 9.1 MB
  • 04 - 3. Machine Learning Platforms/07 - Deploy and host model with SageMaker model.mp4 8.6 MB
  • 02 - 1. Machine Learning on AWS/05 - AWS AI platforms vs. frameworks.mp4 8.0 MB
  • 03 - 2. Machine Learning API Services/06 - Predict using AWS Rekognition for video.mp4 7.9 MB
  • 03 - 2. Machine Learning API Services/07 - Predict using Transcribe and Translate.mp4 7.3 MB
  • 01 - Introduction/01 - Welcome.mp4 7.3 MB
  • 05 - 4. Machine Learning Virtual Servers/02 - Understanding deep learning.mp4 6.9 MB
  • 06 - 5. Machine Learning Architectures/01 - AWS ML APIs for conversational apps.mp4 6.5 MB
  • 02 - 1. Machine Learning on AWS/04 - AWS AI servers vs. platforms.mp4 6.1 MB
  • 01 - Introduction/02 - About using cloud services.mp4 5.9 MB
  • 06 - 5. Machine Learning Architectures/03 - Spark ML and Databricks AWS for real-time apps.mp4 5.5 MB
  • 06 - 5. Machine Learning Architectures/02 - AWS ML service for IoT apps.mp4 5.3 MB
  • 07 - Conclusion/01 - Next steps.mp4 3.1 MB
  • Glossary_AmazonWebServicesMachineLearningEssentialTraining.zip 135.6 kB
  • 05 - 4. Machine Learning Virtual Servers/04 - Work with MXNet in SageMaker.srt 15.6 kB
  • 05 - 4. Machine Learning Virtual Servers/09 - Work with EMR for machine learning.srt 14.8 kB
  • 05 - 4. Machine Learning Virtual Servers/06 - Work with MXNet in Databricks.srt 14.6 kB
  • 04 - 3. Machine Learning Platforms/02 - Understanding and using AWS Machine Learning.srt 14.0 kB
  • 06 - 5. Machine Learning Architectures/05 - Best practices for algorithms and architectures.srt 12.8 kB
  • 05 - 4. Machine Learning Virtual Servers/05 - Databricks on AWS.srt 12.7 kB
  • 03 - 2. Machine Learning API Services/01 - Setup for AWS machine learning APIs.srt 12.6 kB
  • 02 - 1. Machine Learning on AWS/03 - Which algorithm should I use.srt 11.0 kB
  • 04 - 3. Machine Learning Platforms/05 - Get data with SageMaker notebook.srt 10.7 kB
  • 03 - 2. Machine Learning API Services/05 - Predict using AWS Rekognition for images.srt 10.7 kB
  • 03 - 2. Machine Learning API Services/04 - Predict using AWS Lex for chatbots.srt 9.7 kB
  • 05 - 4. Machine Learning Virtual Servers/07 - Set up the AWS Deep Learning AMIs.srt 9.5 kB
  • 04 - 3. Machine Learning Platforms/04 - Create Jupyter notebooks with SageMaker.srt 9.4 kB
  • 04 - 3. Machine Learning Platforms/09 - Selecting algorithm for model training.srt 9.2 kB
  • 05 - 4. Machine Learning Virtual Servers/03 - Work with Gluon for MXNet in SageMaker.srt 8.9 kB
  • 02 - 1. Machine Learning on AWS/02 - Business scenarios for machine learning.srt 8.1 kB
  • 04 - 3. Machine Learning Platforms/01 - Understanding ML platforms.srt 7.3 kB
  • 03 - 2. Machine Learning API Services/03 - Predict using AWS Polly text-to-speech.srt 7.3 kB
  • 02 - 1. Machine Learning on AWS/06 - A classifier in action Amazon Macie.srt 7.2 kB
  • 04 - 3. Machine Learning Platforms/03 - Understanding SageMaker.srt 7.1 kB
  • 05 - 4. Machine Learning Virtual Servers/01 - Understanding ML virtual servers.srt 6.8 kB
  • 06 - 5. Machine Learning Architectures/04 - VariantSpark and EMR for genomic research.srt 6.7 kB
  • 02 - 1. Machine Learning on AWS/01 - AWS Machine Learning concepts.srt 6.7 kB
  • 03 - 2. Machine Learning API Services/02 - Predict using AWS Comprehend for NLP.srt 6.7 kB
  • 04 - 3. Machine Learning Platforms/08 - Use model from SageMaker endpoint.srt 6.5 kB
  • 05 - 4. Machine Learning Virtual Servers/08 - Work with the AWS Deep Learning AMI.srt 6.1 kB
  • 03 - 2. Machine Learning API Services/07 - Predict using Transcribe and Translate.srt 5.6 kB
  • 02 - 1. Machine Learning on AWS/05 - AWS AI platforms vs. frameworks.srt 5.4 kB
  • 04 - 3. Machine Learning Platforms/06 - Train model with SageMaker job.srt 5.0 kB
  • 05 - 4. Machine Learning Virtual Servers/02 - Understanding deep learning.srt 4.5 kB
  • 06 - 5. Machine Learning Architectures/01 - AWS ML APIs for conversational apps.srt 4.5 kB
  • 01 - Introduction/02 - About using cloud services.srt 4.5 kB
  • 03 - 2. Machine Learning API Services/06 - Predict using AWS Rekognition for video.srt 4.4 kB
  • 04 - 3. Machine Learning Platforms/07 - Deploy and host model with SageMaker model.srt 4.4 kB
  • 04 - 3. Machine Learning Platforms/10 - Advanced use of SageMaker.srt 4.3 kB
  • 02 - 1. Machine Learning on AWS/04 - AWS AI servers vs. platforms.srt 4.0 kB
  • 06 - 5. Machine Learning Architectures/03 - Spark ML and Databricks AWS for real-time apps.srt 4.0 kB
  • 06 - 5. Machine Learning Architectures/02 - AWS ML service for IoT apps.srt 3.8 kB
  • 01 - Introduction/01 - Welcome.srt 2.5 kB
  • 07 - Conclusion/01 - Next steps.srt 1.9 kB
  • Read me.txt 145 Bytes

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相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
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