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

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Title: LinkedIn - Amazon Web Services Machine Learning Essential TrainingGroup: 1Year: 2023Source: LinkedIn
Info Hash
A66B371B04FB6A9372066322AD64588C897C1365
Source
Unverified
Total Size
528.85 MB
Total Files
82
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
05 - 4. Machine Learning Virtual Servers/06 - Work with MXNet in Databricks.mp429.82 MB
Read me.txt145 B
01 - Introduction/01 - Welcome.mp46.99 MB
01 - Introduction/01 - Welcome.srt2.41 KB
01 - Introduction/02 - About using cloud services.mp45.63 MB
01 - Introduction/02 - About using cloud services.srt4.35 KB
02 - 1. Machine Learning on AWS/01 - AWS Machine Learning concepts.mp48.71 MB
02 - 1. Machine Learning on AWS/01 - AWS Machine Learning concepts.srt6.52 KB
02 - 1. Machine Learning on AWS/02 - Business scenarios for machine learning.mp49.92 MB
02 - 1. Machine Learning on AWS/02 - Business scenarios for machine learning.srt7.9 KB
02 - 1. Machine Learning on AWS/03 - Which algorithm should I use.mp414.47 MB
02 - 1. Machine Learning on AWS/03 - Which algorithm should I use.srt10.72 KB
02 - 1. Machine Learning on AWS/04 - AWS AI servers vs. platforms.mp45.82 MB
02 - 1. Machine Learning on AWS/04 - AWS AI servers vs. platforms.srt3.92 KB
02 - 1. Machine Learning on AWS/05 - AWS AI platforms vs. frameworks.mp47.61 MB
02 - 1. Machine Learning on AWS/05 - AWS AI platforms vs. frameworks.srt5.24 KB
02 - 1. Machine Learning on AWS/06 - A classifier in action Amazon Macie.mp412.02 MB
02 - 1. Machine Learning on AWS/06 - A classifier in action Amazon Macie.srt7.01 KB
03 - 2. Machine Learning API Services/01 - Setup for AWS machine learning APIs.mp416.48 MB
03 - 2. Machine Learning API Services/01 - Setup for AWS machine learning APIs.srt12.35 KB
03 - 2. Machine Learning API Services/02 - Predict using AWS Comprehend for NLP.mp415.5 MB
03 - 2. Machine Learning API Services/02 - Predict using AWS Comprehend for NLP.srt6.51 KB
03 - 2. Machine Learning API Services/03 - Predict using AWS Polly text-to-speech.mp411.57 MB
03 - 2. Machine Learning API Services/03 - Predict using AWS Polly text-to-speech.srt7.08 KB
03 - 2. Machine Learning API Services/04 - Predict using AWS Lex for chatbots.mp416.38 MB
03 - 2. Machine Learning API Services/04 - Predict using AWS Lex for chatbots.srt9.49 KB
03 - 2. Machine Learning API Services/05 - Predict using AWS Rekognition for images.mp421.4 MB
03 - 2. Machine Learning API Services/05 - Predict using AWS Rekognition for images.srt10.45 KB
03 - 2. Machine Learning API Services/06 - Predict using AWS Rekognition for video.mp47.5 MB
03 - 2. Machine Learning API Services/06 - Predict using AWS Rekognition for video.srt4.32 KB
03 - 2. Machine Learning API Services/07 - Predict using Transcribe and Translate.mp47 MB
03 - 2. Machine Learning API Services/07 - Predict using Transcribe and Translate.srt5.47 KB
04 - 3. Machine Learning Platforms/01 - Understanding ML platforms.mp48.74 MB
04 - 3. Machine Learning Platforms/01 - Understanding ML platforms.srt7.15 KB
04 - 3. Machine Learning Platforms/02 - Understanding and using AWS Machine Learning.mp428.08 MB
04 - 3. Machine Learning Platforms/02 - Understanding and using AWS Machine Learning.srt13.71 KB
04 - 3. Machine Learning Platforms/03 - Understanding SageMaker.mp48.93 MB
04 - 3. Machine Learning Platforms/03 - Understanding SageMaker.srt6.89 KB
04 - 3. Machine Learning Platforms/04 - Create Jupyter notebooks with SageMaker.mp415.47 MB
04 - 3. Machine Learning Platforms/04 - Create Jupyter notebooks with SageMaker.srt9.21 KB
04 - 3. Machine Learning Platforms/05 - Get data with SageMaker notebook.mp418.78 MB
04 - 3. Machine Learning Platforms/05 - Get data with SageMaker notebook.srt10.48 KB
04 - 3. Machine Learning Platforms/06 - Train model with SageMaker job.mp411.45 MB
04 - 3. Machine Learning Platforms/06 - Train model with SageMaker job.srt4.89 KB
04 - 3. Machine Learning Platforms/07 - Deploy and host model with SageMaker model.mp48.16 MB
04 - 3. Machine Learning Platforms/07 - Deploy and host model with SageMaker model.srt4.25 KB
04 - 3. Machine Learning Platforms/08 - Use model from SageMaker endpoint.mp410.74 MB
04 - 3. Machine Learning Platforms/08 - Use model from SageMaker endpoint.srt6.36 KB
04 - 3. Machine Learning Platforms/09 - Selecting algorithm for model training.mp413.48 MB
04 - 3. Machine Learning Platforms/09 - Selecting algorithm for model training.srt9.02 KB
04 - 3. Machine Learning Platforms/10 - Advanced use of SageMaker.mp48.7 MB
04 - 3. Machine Learning Platforms/10 - Advanced use of SageMaker.srt4.2 KB
05 - 4. Machine Learning Virtual Servers/01 - Understanding ML virtual servers.mp48.97 MB
05 - 4. Machine Learning Virtual Servers/01 - Understanding ML virtual servers.srt6.67 KB
05 - 4. Machine Learning Virtual Servers/02 - Understanding deep learning.mp46.58 MB
05 - 4. Machine Learning Virtual Servers/02 - Understanding deep learning.srt4.4 KB
05 - 4. Machine Learning Virtual Servers/03 - Work with Gluon for MXNet in SageMaker.mp418.13 MB
05 - 4. Machine Learning Virtual Servers/03 - Work with Gluon for MXNet in SageMaker.srt8.69 KB
05 - 4. Machine Learning Virtual Servers/04 - Work with MXNet in SageMaker.mp428.17 MB
05 - 4. Machine Learning Virtual Servers/04 - Work with MXNet in SageMaker.srt15.22 KB
05 - 4. Machine Learning Virtual Servers/05 - Databricks on AWS.mp419.04 MB
05 - 4. Machine Learning Virtual Servers/05 - Databricks on AWS.srt12.44 KB
Glossary_AmazonWebServicesMachineLearningEssentialTraining.zip132.38 KB
05 - 4. Machine Learning Virtual Servers/06 - Work with MXNet in Databricks.srt14.26 KB
05 - 4. Machine Learning Virtual Servers/07 - Set up the AWS Deep Learning AMIs.mp423.75 MB
05 - 4. Machine Learning Virtual Servers/07 - Set up the AWS Deep Learning AMIs.srt9.27 KB
05 - 4. Machine Learning Virtual Servers/08 - Work with the AWS Deep Learning AMI.mp423.41 MB
05 - 4. Machine Learning Virtual Servers/08 - Work with the AWS Deep Learning AMI.srt5.92 KB
05 - 4. Machine Learning Virtual Servers/09 - Work with EMR for machine learning.mp424.81 MB
05 - 4. Machine Learning Virtual Servers/09 - Work with EMR for machine learning.srt14.43 KB
06 - 5. Machine Learning Architectures/01 - AWS ML APIs for conversational apps.mp46.18 MB
06 - 5. Machine Learning Architectures/01 - AWS ML APIs for conversational apps.srt4.37 KB
06 - 5. Machine Learning Architectures/02 - AWS ML service for IoT apps.mp45.08 MB
06 - 5. Machine Learning Architectures/02 - AWS ML service for IoT apps.srt3.72 KB
06 - 5. Machine Learning Architectures/03 - Spark ML and Databricks AWS for real-time apps.mp45.23 MB
06 - 5. Machine Learning Architectures/03 - Spark ML and Databricks AWS for real-time apps.srt3.89 KB
06 - 5. Machine Learning Architectures/04 - VariantSpark and EMR for genomic research.mp410.34 MB
06 - 5. Machine Learning Architectures/04 - VariantSpark and EMR for genomic research.srt6.53 KB
06 - 5. Machine Learning Architectures/05 - Best practices for algorithms and architectures.mp416.46 MB
06 - 5. Machine Learning Architectures/05 - Best practices for algorithms and architectures.srt12.52 KB
07 - Conclusion/01 - Next steps.mp42.93 MB
07 - Conclusion/01 - Next steps.srt1.82 KB

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