Machine Learning in the Enterprise - 한국어

Explore the practical application of machine learning in enterprise settings with the Machine Learning in the Enterprise course offered by Google Cloud. This comprehensive course delves into various ML business requirements and use cases, showcasing exemplary ML team practices. From data management and governance to practical ML workflow approaches, students will gain insights into tools required for data management and governance, as well as an overview of Dataflow, Dataprep, and preprocessing using BigQuery. The course examines three options for building machine learning models specific to use cases and explains the rationale behind using Vertex AutoML, BigQuery ML, or custom training. Detailed explanations are provided for custom training, covering aspects such as training code structure, storage, and exporting trained models. The course also delves into utilizing Vertex Vizier for hyperparameter tuning and improving model performance. Theoretical concepts such as normalization, sparsity handling, and other important principles to enhance model performance are thoroughly explored. Additionally, the course provides an overview of prediction and model monitoring, and demonstrates how to manage ML models using Vertex AI.

• Comprehensive coverage of ML business requirements and use cases
• Insights into data management, preprocessing, and model building
• Exploration of Vertex AutoML, BigQuery ML, and custom training options
• Detailed examination of custom training requirements and utilization of Vertex Vizier
• Thorough theoretical exploration of model performance enhancement concepts
• Overview of prediction, model monitoring, and ML model management using Vertex AI