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.
Ce cours fait partie de la Spécialisation Machine Learning Engineering for Production (MLOps)
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À propos de ce cours
• Some knowledge of AI / deep learning
• Intermediate Python skills
• Experience with any deep learning framework (PyTorch, Keras, or TensorFlow)
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Essayez Coursera pour les affairesCe que vous allez apprendre
Apply techniques to manage modeling resources and best serve batch and real-time inference requests.
Use analytics to address model fairness, explainability issues, and mitigate bottlenecks.
Compétences que vous acquerrez
- Explainable AI
- Fairness Indicators
- automl
- Model Performance Analysis
- Precomputing Predictions
• Some knowledge of AI / deep learning
• Intermediate Python skills
• Experience with any deep learning framework (PyTorch, Keras, or TensorFlow)
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affairesOffert par
Programme de cours : ce que vous apprendrez dans ce cours
Week 1: Neural Architecture Search
Week 2: Model Resource Management Techniques
Week 3: High-Performance Modeling
Week 4: Model Analysis
Avis
- 5 stars64,78 %
- 4 stars20,26 %
- 3 stars6,64 %
- 2 stars5,31 %
- 1 star2,99 %
Meilleurs avis pour MACHINE LEARNING MODELING PIPELINES IN PRODUCTION
Some of the topics were too advanced and instructor assumes that we know those basics. It felt rush through little bit and more of reading slides then explaining at many places
Lots of hands-on exercises accompanying knowledge learned in this course 3, but could be difficult for someone without prior working knowledge on Google Cloud platform/services.
This course is helpful. Enrich my knowledge with data concepts, optimal high-performance model tools and model debugging.
It was really a wonderful and amazing course. I really learnt about what all goes in creating a successful ML project
À propos du Spécialisation Machine Learning Engineering for Production (MLOps)

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