دانلود کتاب Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow
by Hannes Hapke, Catherine Nelson
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عنوان فارسی: خطوط لوله یادگیری ماشین ساخت: اتوماتیک کردن چرخه های زندگی با TensorFlow |
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جزییات کتاب
Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects.
• Understand the steps that make up a machine learning pipeline
• Build your pipeline using components from TensorFlow Extended
• Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow and Kubeflow Pipelines
• Work with data using TensorFlow Data Validation and TensorFlow Transform
• Analyze a model in detail using TensorFlow Model Analysis
• Examine fairness and bias in your model performance
• Deploy models with TensorFlow Serving or convert them to TensorFlow Lite for mobile devices
• Understand privacy-preserving machine learning techniques