Item #:
254367001
Build a Machine Learning Platform (From Scratch): Build an Internal Developer Platform for Ml and Ai Systems
87% of respondents would recommend this to a friend
Item #:
254367001
MYR 420
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A must-have if you want to learn how to build and deploy ML models from scratch.
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What Stands Out
Custom ML Framework
Tailored machine learning architecture allows developers to efficiently build, deploy, and manage AI applications, ensuring flexibility and scalability across various projects.
Seamless Integration
Easily integrates with existing systems and tools, streamlining workflows and reducing setup time, which enhances productivity for development teams.
Robust Support
Comprehensive documentation and community support enable users to troubleshoot effectively and share best practices, ensuring users maximize the platform's potential.
Maklumat produk
| Publisher | Manning Publications |
| Publication date | 10 Mar. 2026 |
| Edition | 1st |
| Language | English |
| Print length | 504 pages |
| ISBN-10 | 1633437337 |
| ISBN-13 | 978-1633437333 |
| Dimensions | 18.75 x 3.2 x 23.5 cm |
Who Should Buy?
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Data Scientists
Ideal for data scientists looking to streamline their ML projects and integrate AI systems effectively.
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Developers
Great for developers wanting to build custom internal platforms that enhance machine learning workflows and productivity.
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Startups
Perfect for startups aiming to establish robust ML infrastructure without relying on third-party solutions.
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Casual Users
Not suitable for casual users or beginners who require simplified tools for basic ML applications.
PENERANGAN PRODUK
Build a Machine Learning Platform (From Scratch): Build an Internal Developer Platform for Ml and Ai Systems
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English edition Benjamin Hao Format: Paperback Editorial Review
Build A Machine Learning Platform (From Scratch): Build An Internal Developer Platform For Ml And Ai Systems is a comprehensive guide published by Manning Publications on March 10, 2026. With a substantial print length of 504 pages, this first edition book is tailored for those looking to establish a robust internal developer platform for effective machine learning and AI systems. Readers have praised the clear writing style and detailed explanations, making complex concepts accessible. The structured approach helps both beginners and experienced practitioners navigate the nuances of building machine learning platforms from the ground up, ensuring a strong foundation in both theory and practical application.
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Kebaikan
- Comprehensive 504-page guide for in-depth learning
- Published by a reputable publisher
- Clear writing style for easy comprehension
- Suitable for beginners and practitioners alike
- Well-structured approach to complex topics
Keburukan
- No interactive elements in the book
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MYR 420
Pesan sekarang dan dapatkannya lebih kurang pada Monday, Oktober 26
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Ciri & Faedah
- Learn to design and operate a production-ready machine learning platform.
- Hands-on projects such as image classifiers and recommendation systems.
- Master MLOps fundamentals like orchestration and deployment.
- Use real open-source tools like Kubeflow and MLflow.
- Streamline workflows and enhance collaboration between teams.
- Achieve automation and improve model deployment efficiency.
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