Linkedin Learning MLOps Essentials Model Development and Integration XQZT

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Posted on 23 Sep 14:19 | by AD-TEAM | 20 views

Videos Files :
01.01 getting started with mlops.mkv (6.06 MB)
01.02 scope and prerequisites.mkv (6.13 MB)
02.01 machine learning life cycle.mkv (3.78 MB)
02.02 unique challenges with ml.mkv (6.02 MB)
02.03 what is devops.mkv (3.35 MB)
02.04 what is mlops.mkv (6.97 MB)
02.05 principles of mlops.mkv (4.14 MB)
02.06 when to start mlops.mkv (6.19 MB)
03.01 selecting ml projects.mkv (4.08 MB)
03.02 creating requirements.mkv (6.65 MB)
03.03 designing the ml workflow.mkv (4.74 MB)
03.04 assembling the team.mkv (4.98 MB)
03.05 choosing tools and technologies.mkv (3.78 MB)
04.01 managed data pipelines.mkv (7.16 MB)
04.02 automated data validation.mkv (3.75 MB)
04.03 managed feature stores.mkv (4.46 MB)
04.04 data versioning.mkv (4.34 MB)
04.05 data governance.mkv (5.96 MB)
04.06 tools and technologies for data processing.mkv (2 MB)
05.01 managed training pipelines.mkv (6.38 MB)
05.02 creating data labels.mkv (6.01 MB)
05.03 experiment tracking.mkv (5.1 MB)
05.04 automl.mkv (7.06 MB)
05.05 tools and technologies for training.mkv (1.44 MB)
06.01 model versioning.mkv (2.32 MB)
06.02 model registry.mkv (3.89 MB)
06.03 benchmarking models.mkv (6.16 MB)
06.04 model life cycle management.mkv (4.9 MB)
06.05 tools and technologies for model management.mkv (2.09 MB)
07.01 solution integration pipelines.mkv (3.36 MB)
07.02 notebook to software.mkv (6.82 MB)
07.03 solution integration patterns.mkv (6.2 MB)
07.04 best practices for solution integration.mkv (1.85 MB)
08.01 continuing on with mlops.mkv (1.35 MB)

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