Machine Learning Engineering

"Andriy Burkov. (2020). Machine Learning Engineering" is a comprehensive book that focuses on the practical aspects of machine learning in the context of engineering and real-world applications. Here's a concise description: This book, authored by Andriy Burkov, offers valuable insights into the field of Machine Learning Engineering. It provides a practical and hands-on approach to the implementation of machine learning models in real-world scenarios. The book covers various aspects of the machine learning lifecycle, including data collection, preprocessing, model training, deployment, and maintenance. It emphasizes the importance of bridging the gap between research and production by addressing practical challenges in scaling and managing machine learning systems. "Machine Learning Engineering" is a valuable resource for software engineering students interested in applying machine learning techniques in entrepreneurship and finance, as it provides guidance on turning ML concepts into practical solutions.