"Deep Learning with Structured Data" by Mark Ryan is a comprehensive guide to using deep learning techniques with structured data. The book is aimed at data scientists and machine learning practitioners who want to develop a deep understanding of deep learning for structured data.
The book covers various topics related to deep learning for structured data, including data preprocessing, feature engineering, deep learning models such as neural networks, and model evaluation. The author provides practical examples and case studies throughout the book to illustrate the concepts being discussed.
One of the strengths of the book is that it provides a clear and concise explanation of how to apply deep learning techniques to structured data. The author explains complex concepts in simple terms, making it easy for readers to understand the underlying principles of deep learning for structured data.
The book also covers important topics such as hyperparameter tuning, regularization, and optimization techniques. The author provides clear explanations of these topics, making it easy for readers to understand how to fine-tune their deep learning models for optimal performance.
Overall, "Deep Learning with Structured Data" is an excellent resource for data scientists and machine learning practitioners who want to develop a deep understanding of deep learning for structured data. The book is well-written, easy to follow, and provides practical guidance on how to apply the concepts learned to real-world problems.
