Opening book details…
Can I read Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples on EtoBox?
Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples by Andrew P. McMahon is a nonfiction available to read on EtoBox.
What is Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples about?
Supercharge The Value Of Your Machine Learning Models By Building Scalable And Robust Solutions That Can Serve Them In Production Environments Key Features: Explore Hyperparameter Optimization And Model Management Tools Learn Object-oriented Programming And Functional Programming In Python To Build Your Own Ml Libraries And Packages Explore Key Ml Engineering Patterns Like Microservices And The Extract Transform Machine Learn (etml) Pattern With Use Cases Book Description: Machine Learning Engineering Is A Thriving Discipline At The Interface Of Software Development And Machine Learning. This Book Will Help Developers Working With Machine Learning And Python To Put Their Knowledge To Work And Create High-quality Machine Learning Products And Services. Machine Learning Engineering With Python Takes A Hands-on Approach To Help You Get To Grips With Essential Technical Concepts, Implementation Patterns, And Development Methodologies To Have You Up And Running In No Time. You'll Begin By Understanding Key Steps Of The Machine Learning Development Life Cycle Before Moving On To Practical Illustrations And Getting To Grips With Building And Deploying Robust Machine Learning Solutions. As
Who reads Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Andrew P. McMahon
- Publisher
- Packt Publishing, Limited
- Published
- 2021
- Language
- EN
- ISBN
- 9781801077101
- Category
- nonfiction
- Subjects
- Science, Computer Science, Stem
Other editions & translations
More by Andrew P. McMahon
Browse all works by Andrew P. McMahon
Similar books
- Practical MLOps : Operationalizing Machine Learning Models — Gift, Noah, Deza, Alfredo (2021)
- Mastering MLOps Architecture: From Code to Deployment: Manage the Production Cycle of Continual Learning ML Models with MLOps — Raman Jhajj (2023)
- Machine Learning Engineering with MLflow: Manage the End-to-end Machine Learning Life Cycle with MLflow — Natu Lauchande (2021)
- Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples — Sayan Mukhopadhyay (2018)
- Practical Machine Learning on Databricks : Seamlessly Transition ML Models and MLOps on Databricks — DEBU. SINHA (2023)
- Engineering MLOps : Rapidly Build, Test, and Manage Production-ready Machine Learning Life Cycles at Scale — Emmanuel Raj (2021)