Chapter 1: Fundamentals of an MLOps Workflow
Machine learning (ML) is maturing from research to applied business solutions. However, the grim reality is that only 2% of companies using ML have successfully deployed a model in production to enhance their business processes, reported by DeepLearning.AI (https://info.deeplearning.ai/the-batch-companies-slipping-on-ai-goals-self-training-for-better-vision-muppets-and-models-china-vs-us-only-the-best-examples-proliferating-patents). What makes it so hard? And what do we need to do to improve the situation?
To get a solid understanding of this problem and its solution, in this chapter, we will delve into the evolution and intersection of software development and ML. We'll begin by reflecting on some ...
Get Engineering MLOps 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.
