Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders.
Author: Chip Huyen ISBN 10: 1098107969. Title: Designing Machine Learning Systems: An Iterative Process for Pro Item Condition: New. Binding: Paperback Language: english. Will be clean, not soiled or stained.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders.
This textbook covers a lot of ground without feeling overwhelming.
Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives.
Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Designing Machine Learning Systems: An Iterative Process For Production-Ready ApplicationsISBN13:9781098107963ISBN10:1098107969Author:Huyen, Chip (Author)Description:Many Tutorials Show You How To Develop Ml Systems From Ideation To Deployed Models But With Constant Changes In Tooling, Those Systems Can Quickly Become Outdated Without An Intentional Design To Hold The Components Together, These Systems Will Become A Technical Liability, Prone To Errors And Be Quick To Fall Apart In This Book, Chip Huyen Provides A Framework For Designing Real-World Ml Systems That Are Quick To Deploy, Reliable, Scalable, And Iterative These Systems Have The Capacity To Learn From New Data, Improve On Past Mistakes, And Adapt To Changing Requirements And Environments You? ???[ Ll Learn Everything From Project Scoping, Data Management, Model Development, Deployment, And Infrastructure To Team Structure And Business Analysis Learn The Challenges And Requirements Of An Ml System In Productionbuild Training Data With Different Sampling And Labeling Methodsleverage Best Techniques To Engineer Features For Your Ml Models To Avoid Data Leakageselect, Develop, Debug, And Evaluate Ml Models That Are Best Suit For Your Tasksdeploy Different Types Of Ml Systems For Different Hardwareexplore Major Infrastructural Choices And Hardware Designsunderstand The Human Side Of Ml, Including Integrating Ml Into Business, User Experience, And Team Structure Binding:Paperback, PaperbackPublisher:O'Reilly MediaPublication Date:2022-07-19Weight:0 lbsDimensions:Number of Pages:350Language:English
Designing Machine Learning Systems : An Iterative Process for Production-Ready Applications by Chip Huyen (2022, Trade Paperback)
Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives.
