Preface
Machine Learning (ML) is the new black. Organizations are investing in adopting and uplifting their ML capabilities to build new products and improve customer experience. The focus of this book is on assisting organizations and teams to get business value out of ML initiatives. By implementing MLOps with Kubernetes, data scientists, IT operations professionals, and data engineers will be able to collaborate and build ML solutions that create tangible outcomes for their business. This book enables teams to take a practical approach to work together to bring the software engineering discipline to the ML project life cycle.
You'll begin by understanding why MLOps is important and discover the different components of an ML project. Later ...
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