









Unlock the power of DevOps for your data science projects with this comprehensive hardback book. "DevOps for Data Science" by Alex Gold provides practical strategies and insights to streamline your data science workflows, from development to deployment and monitoring. This book covers key DevOps principles and practices tailored specifically for data science teams. Learn how to improve collaboration, automate processes, and enhance the reliability and scalability of your data science solutions. Whether you're a data scientist, engineer, or MLOps professional, this guide will equip you with the knowledge to implement effective DevOps methodologies. Key topics include: * CI/CD for data science projects * Infrastructure as code for data environments * Monitoring and logging for machine learning models * Collaboration and version control best practices * Automating data pipelines Summary: DevOps for Data Science, Alex Gold, Hardback Book, Data Science, MLOps, CI/CD, Automation, Collaboration, Data Engineering.
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Details:Unlock the power of DevOps for your data science projects with this comprehensive hardback book. "DevOps for Data Science" by Alex Gold provides practical strategies and insights to streamline your data science workflows, from development to deployment and monitoring. This book covers key DevOps principles and practices tailored specifically for data science teams. Learn how to improve collaboration, automate processes, and enhance the reliability and scalability of your data science solutions. Whether you're a data scientist, engineer, or MLOps professional, this guide will equip you with the knowledge to implement effective DevOps methodologies. Key topics include: * CI/CD for data science projects * Infrastructure as code for data environments * Monitoring and logging for machine learning models * Collaboration and version control best practices * Automating data pipelines Summary: DevOps for Data Science, Alex Gold, Hardback Book, Data Science, MLOps, CI/CD, Automation, Collaboration, Data Engineering.
Price now:
From
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Unlock the power of DevOps for your data science projects with this comprehensive hardback book. "DevOps for Data Science" by Alex Gold provides practical strategies and insights to streamline your data science workflows, from development to deployment and monitoring. This book covers key DevOps principles and practices tailored specifically for data science teams. Learn how to improve collaboration, automate processes, and enhance the reliability and scalability of your data science solutions. Whether you're a data scientist, engineer, or MLOps professional, this guide will equip you with the knowledge to implement effective DevOps methodologies. Key topics include: * CI/CD for data science projects * Infrastructure as code for data environments * Monitoring and logging for machine learning models * Collaboration and version control best practices * Automating data pipelines Summary: DevOps for Data Science, Alex Gold, Hardback Book, Data Science, MLOps, CI/CD, Automation, Collaboration, Data Engineering.
General | |
|---|---|
format | hardback |
Language | eng |
type | not available |
Color | gold |
Material | gold |
Brand | Taylor & Francis Ltd |
series | chapman & hall/crc data science ser. |
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