Continuous machine learning with Kubeflow : performing reliable MLOps with capabilities of TFX, Sagemaker and Kubernetes /
Choudhury, Aniruddha,
Continuous machine learning with Kubeflow : performing reliable MLOps with capabilities of TFX, Sagemaker and Kubernetes / Aniruddha Choudhury. - 1st edition. - 330 pages : illustrations ; 20 cm.
Includes bibliographical references.
1. Introduction to Kubeflow & Kubernetes cloud architecture ‡ 2. Developing Kubeflow pipeline in GCP ‡ 3. Designing computer vision model in Kubeflow ‡ 4. Building TFX pipeline ‡ 5. ML model explainability & interpretability ‡ 6. Building Weights & Biases pipeline development ‡ 7. Applied ML with AWS SageMaker ‡ 8. Web app development with Streamlit & Heroku.
Practical guide to deploying and managing continuous ML pipelines using Kubeflow on Kubernetes. Covers TFX, SageMaker, Explainable AI, and cloud deployments with Docker, GCP, AWS, and Heroku. Ideal for MLOps/devops engineers and data scientists. :contentReference[oaicite:1]
9789389898507
Machine learning--Implementation.
006.3 / c.a.c.
Continuous machine learning with Kubeflow : performing reliable MLOps with capabilities of TFX, Sagemaker and Kubernetes / Aniruddha Choudhury. - 1st edition. - 330 pages : illustrations ; 20 cm.
Includes bibliographical references.
1. Introduction to Kubeflow & Kubernetes cloud architecture ‡ 2. Developing Kubeflow pipeline in GCP ‡ 3. Designing computer vision model in Kubeflow ‡ 4. Building TFX pipeline ‡ 5. ML model explainability & interpretability ‡ 6. Building Weights & Biases pipeline development ‡ 7. Applied ML with AWS SageMaker ‡ 8. Web app development with Streamlit & Heroku.
Practical guide to deploying and managing continuous ML pipelines using Kubeflow on Kubernetes. Covers TFX, SageMaker, Explainable AI, and cloud deployments with Docker, GCP, AWS, and Heroku. Ideal for MLOps/devops engineers and data scientists. :contentReference[oaicite:1]
9789389898507
Machine learning--Implementation.
006.3 / c.a.c.