Solve Kaggle's OpenVaccine Challenge w/ Kubeflow and MLOps
Data Science, Kubeflow, Kale and MLOps come together in this course based on the Kaggle OpenVaccine Challenge;
4.31 (24 reviews)
1,209
students
41 mins
content
Aug 2022
last update
FREE
regular price
What you will learn
Articulate the relationship between the Kaggle OpenVaccine Competition and Kubeflow.
Outline the stages of MLOps and explain the value of Kubeflow as it pertains to MLOps.
Use Jupyter Notebooks in Kubeflow to review the Kaggle OpenVaccine Problem Solution.
Define Kubeflow Pipeline using Kale and Jupyter Notebooks hosted on Kubeflow Clusters.
Use Katib to perform Hyperparameter Tuning with Kubeflow Pipelines.
Load Kubeflow Pipeline Snapshots in new Notebook Servers to restore previous state.
Serve the ideal model from a Jupyter Notebook.
Articulate how Machine Learning technologies come together to support MLOps.
Related Topics
4735770
udemy ID
6/15/2022
course created date
8/8/2022
course indexed date
Angelcrc Seven
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