Machine Learning Modeling Pipelines in Production
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Machine Learning Modeling Pipelines in Production

أبرز محتويات الدورة

In the third course of Machine Learning Engineering for Production Specialization, you will build models for different serving environments; implement tools and techniques to effectively manage your modeling resources and best serve offline and online inference requests; and use analytics tools and performance metrics to address model fairness, explainability issues, and mitigate bottlenecks. Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills. Week 1: Neural Architecture Search Week 2: Model Resource Management Techniques Week 3: High-Performance Modeling Week 4: Model Analysis Week 5: Interpretability

حول مقدم الدورة

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الطبع بواسطة

  • self
    التعلم الذاتي
  • dueration
    المدة 48 ساعات
  • domain
    الاختصاص علم البيانات والذكاء الاصطناعي
  • subs
    Monthly Subscription
    Course is included in
    1. الباقة الإبتدائية @ AED 99 + VAT
    2. الباقة الاحترافية @ AED 149 + VAT
  • fee
    Buy Now Option not available
  • language
    اللغة الإنكليزية