The Definitive Guide to Google Vertex AI

Table of Contents

Preface

Part 1: The Importance of MLOps in a Real-World ML Deployment

1

Machine Learning Project Life Cycle and Challenges

ML project life cycle

Common challenges in developing real-world ML solutions

Data collection and security

Non-representative training data

Poor quality of data

Underfitting the training dataset

Overfitting the training dataset

Infrastructure requirements

Limitations of ML

Data-related concerns

Deterministic nature of problems

Lack of interpretability and reproducibility

Concerns related to cost and customizations

Ethical concerns and bias

Summary

2

What Is MLOps, and Why Is It So Important for Every ML Team?

Why is MLOps important?

Implementing different MLOps maturity levels

MLOps maturity level 0

MLOps ...