"Pragmatic AI: An Introduction to Cloud-Based Machine Learning" by Noah Gift is a book that provides a practical introduction to cloud-based machine learning. The book is aimed at developers and data scientists who want to learn how to build and deploy machine learning models in the cloud.
The book begins with an introduction to the basics of machine learning, including supervised and unsupervised learning, and moves on to cover cloud-based machine learning platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Throughout the book, the author uses practical examples and code snippets to help readers understand the concepts.
One of the strengths of the book is its emphasis on practical applications of cloud-based machine learning. The author provides clear explanations of how to build and deploy machine learning models in the cloud using popular platforms such as AWS SageMaker and GCP AI Platform. This is a valuable resource for readers who want to learn how to apply machine learning to real-world problems in the cloud.
Another strength of the book is its focus on best practices for building and deploying machine learning models in the cloud. The author provides guidance on topics such as data preprocessing, feature engineering, model selection, and model deployment, which are critical for building effective machine learning models in the cloud.
Overall, "Pragmatic AI" is a great resource for developers and data scientists who want to learn how to build and deploy machine learning models in the cloud. The book provides a solid foundation in the basics of machine learning and cloud computing, along with practical guidance on how to apply these concepts to real-world problems.
