Foreword
The New Paradigm of Learning in the GenAI Era
"Machine learning is a powerful tool for uncovering hidden patterns and driving decision-making, but its true potential is realized when combined with robust and efficient coding practices." — Yann LeCun
The de facto standard for machine learning engineering today is Python, a language beloved for its simplicity and extensive libraries. However, in writing this book, Machine Learning via Rust (MLVR), we made a deliberate choice to use Rust as the primary language. Rust, with its low-level nature, offers unique flexibilities that allow for deeper hardware adaptation, making it an ideal choice for those who wish to explore the frontiers of machine learning.
My journey in machine learning began from a background steeped in mathematics and physics, disciplines that provided me with a strong theoretical foundation. I have come to realize that in the era of Generative AI (GenAI), implementing machine learning models can seem trivial—provided you know what to code. GenAI is a remarkable tool, one that accelerates the coding process and opens doors to possibilities that were previously unimaginable.
- Mathematical Models: Understanding the underlying mathematics is the foundation of machine learning. Rust’s strong typing and performance allow these models to be implemented efficiently across hardware platforms.
- Optimizing Performance: Rust’s low-level capabilities provide fine control over hardware resources, making it ideal for optimizing the performance of machine learning models, from deep learning to reinforcement learning.
- Concurrency and Parallelism: Rust’s system-level design, with features like ownership and borrowing, allows for safe concurrency and parallelism—critical components when scaling machine learning models.
Machine learning should not be about quick wins or surface-level understanding. While "Hello World" programs provide a foundation, real-world development demands more. In production, you need the best tools at your disposal—Rust provides the power and precision required to bring sophisticated models to life. Use GenAI to boost productivity, but remember that true mastery comes from deep comprehension.
RantAI’s dedication to *advancing scientific computation* through Rust reflects our commitment to pushing boundaries. Rust's performance and safety-first design make it a perfect fit for machine learning, and this book stands as a testament to that vision. MLVR is not just an educational resource—it is a guide to unlocking new potentials in this dynamic field.
Enjoy the journey through this book, and take the time to delve deep. With patience and focus, the insights you gain will make you a better engineer and innovator.
Jakarta, August 17th, 2024
Dr. Risman Adnan Mattotorang, S.Si, M.Si.