1
Machine Learning Project Life Cycle and Challenges
Today, machine learning (ML) and artificial intelligence (AI) are integral parts of business strategy for many organizations, and more organizations are using them every year. The major reason for this adoption is the power of ML and AI solutions to garner more revenue, brand value, and cost savings. This increase in the adoption of AI and ML demands more skilled data and ML specialists and technical leaders. If you are an ML practitioner or beginner, this book will help you become a confident ML engineer or data scientist with knowledge of Google’s best practices. In this chapter, we will discuss the basics of the life cycle and the challenges and limitations of ML when developing real-world ...
Get The Definitive Guide to Google Vertex AI now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
