Coursera
MOOC / Non-credit
0
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文
About this course
"本课程能让机器学习从业者掌握评估生成式和预测式 AI 模型的基本工具、方法和最佳实践。要确保机器学习系统在实际运用中提供可靠、准确、高效的结果，做好模型评估至关重要。 学员将深入了解各项评估指标、方法及如何在不同模型类型和任务中适当应用这些指标和方法。课程将着重介绍生成式 AI 模型带来的独特挑战，并提供有效解决这些挑战的策略。通过利用 Google Cloud 的 Vertex AI Platform，学员可学习如何在模型选择、优化和持续监控工作中实施卓有成效的评估流程。"
C
55/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 20/35
- How complete the listing is
- 12/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Understand key evaluation metrics for AI models
- Apply appropriate evaluation methods for different model types and tasks
- Implement effective evaluation processes in model selection and optimization
Course objectives
- Equip learners with the tools and best practices for evaluating AI models
- Provide strategies for overcoming challenges in generative AI evaluations
Machine Learning
#machine learning
#generative ai
#model optimization
#model evaluation
#predictive modeling
#data analysis
#vertex ai
#evaluation metrics
#ai best practices
$49.00
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