Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

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Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

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Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

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Mã sản phẩm:
Danh mục: Sách IT, Sách chuyên ngành
Tình trạng: Còn hàng

Mô tả

Sách Machine Learning Production Systems Engineering Machine Learning Models and Pipelines

Sách keo gáy, bìa mềm

Using machine learning for products, services, and

critical business processes is quite different from using ML in an

academic or research setting—especially for recent ML graduates and

those moving from research to a commercial environment. Whether you

currently work to create products and services that use ML, or would

like to in the future, this practical book gives you a broad view of the

entire field.

Authors Robert Crowe, Hannes Hapke, Emily Caveness,

and Di Zhu help you identify topics that you can dive into deeper,

along with reference materials and tutorials that teach you the details.

You'll learn the state of the art of machine learning engineering,

including a wide range of topics such as modeling, deployment, and

MLOps. You'll learn the basics and advanced aspects to understand the

production ML lifecycle.

This book provides four in-depth sections that cover all aspects of machine learning engineering

Data:

collecting, labeling, validating, automation, and data preprocessing;

data feature engineering and selection; data journey and storage

Modeling:

high performance modeling; model resource management techniques; model

analysis and interoperability; neural architecture search

Deployment: model serving patterns and infrastructure for ML models and LLMs; management and delivery; monitoring and logging

Productionalizing: ML pipelines; classifying unstructured texts and images; genAI model pipelines

Categories:Computers - Artificial Intelligence (AI)

Year:2024

Edition:1

Language:english

Pages:475

https://zalo.me/0969436832

0969436832