Unlock the high-performance C# skills that power modern Artificial Intelligence.
Are you a C# developer ready to move beyond standard application development and dive into the world of high-performance data manipulation and AI? This book is your essential guide to bridging the gap between traditional collections and the powerful vector embeddings that are the lifeblood of today's neural networks.
In Volume 3 of the C# & AI Masterclass series, we leave the basics behind and explore the internal mechanics of .NET's most powerful data structures. You won't just learn how to use a Dictionary; you'll understand the hashing, collision resolution, and memory management that make it fast. You won't just write a LINQ query; you'll build clean, declarative, and scalable data pipelines that are the foundation of professional AI development.
What you will master in this volume:
- Deep Dive into Data Structures: Go under the hood of List, Dictionary, and HashSet to write highly efficient code.
- LINQ for Functional Data Pipelines: Master Method and Query syntax to transform data declaratively. Learn the secrets of deferred execution and how to avoid common performance traps.
- Zero-Allocation Memory Management: Harness the power of Memory and Span to slice and process large datasets without triggering the garbage collector—a critical skill for real-time AI.
- The Path to Embeddings: Understand the journey from raw collections to the structured vectors that AI models require, and learn how to prepare your data for the world of machine learning.
- Practical, AI-Focused Examples: Build components of real-world AI systems, including tokenizer vocabularies, graph traversal algorithms, and data normalization pipelines.
This book is for intermediate C# developers who are serious about performance and want to apply their skills to the exciting and rapidly growing field of Artificial Intelligence. If you're ready to stop just using collections and start commanding them, this book is your next step.
Start your journey from collections to embeddings today and transform the way you handle data in C#.
Check also the other books in this series
