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课程: Build, Train, and Deploy ML Pipelines using BERT. 点击
其实核心的内容
可以返回。
Course 2 overview
Week 1 Outline
Introduction to Feature Engineering
Feature Engineering Steps
Feature Engineering Pipeline
BERT: Bidirectional Encoder Representations from Transformers
BERT: Example
Feature Engineering: At scale with Amazon SageMaker Processing Jobs
Feature Store
Amazon SageMaker Feature Store
Week 1 Summary
Week 2 Introduction
Train and Debug a Custom Machine Learning Model
Pre-trained models
Pre-trained BERT models
Train a custom model with Amazon SageMaker
Debug and profile models
Debug and Profile Models with Amazon SageMaker Debugger
Week 2 Summary
Week 3 Outline
Machine Learning Operations (MLOps) Overview
Creating Machine Learning Pipelines
Model Lineage & Artifact Tracking
Machine Learning Pipelines with Amazon SageMaker Pipelines
Machine Learning Pipelines with Amazon SageMaker Projects
Amazon SageMaker Projects Demo
Week 3 Summary