Machine Learning Infrastructure and Best Practices for Software Engineers : Take your machine learning software from a prototype to a fully fledged software system

Machine Learning Infrastructure and Best Practices for Software Engineers : Take your machine learning software from a prototype to a fully fledged software system

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Xehetasun bibliografikoak
Egile nagusia:	Staron, Miroslaw. (Egilea)
Formatua:	E-Book
Hizkuntza:	Anglais
Argitaratua:	Birmingham : Packt Publishing.
Autres localisations:	Voir dans le Sudoc
Sarrera elektronikoa:	Accès à l'E-book

Antzeko izenburuak

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Argitaratua: (2013)

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Software Design for Engineers and Scientists
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Practical Machine Learning
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Argitaratua: (2016)

Learning software testing with Test Studio
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Machine Learning Engineering with Python : Manage the lifecycle of machine learning models using MLOps with practical examples
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Perspectives on Data Science for Software Engineering
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A practical guide to software localization : for translators, engineers and project managers
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Security-Driven Software Development : Learn to analyze and mitigate risks in your software projects
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Machine Learning Engineering on AWS : Build, scale, and secure machine learning systems and MLOps pipelines in production
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Hands-On Software Engineering with Golang : Move beyond basic programming to design and build reliable software with clean code
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Hands-on software engineering with Python : move beyond basic programming and construct reliable and efficient software with complex code
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Practical machine learning in R
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Practical Machine Learning Cookbook
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Argitaratua: (2017)

Machine Learning Engineering with MLflow : Manage the end-to-end machine learning life cycle with MLflow
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Argitaratua: (2021)

Practical Machine Learning with R : Define, build, and evaluate machine learning models for real-world applications
nork: Jeyaraman, Brindha Priyadarshini.
Argitaratua: (2019)

Ghidra Software Reverse Engineering for Beginners : Analyze, identify, and avoid malicious code and potential threats in your networks and systems
nork: David, A. P..
Argitaratua: (2021)

Software Quality Assurance : In Large Scale and Complex Software-intensive Systems
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The essence of software
nork: Jackson, Daniel (1963-....).
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Understanding Software
nork: Kanat-Alexander, Max.
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Python Machine Learning By Example : Unlock machine learning best practices with real-world use cases
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Machine Learning Security with Azure : Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
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Machine Learning Automation with TPOT : Build, validate, and deploy fully automated machine learning models with Python
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Graph Machine Learning : Take graph data to the next level by applying machine learning techniques and algorithms
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Argitaratua: (2021)

Practical Machine Learning on Databricks : Seamlessly transition ML models and MLOps on Databricks
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Embedded software : the works
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