Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning series)

CUDA C++ Optimization: Coding Faster GPU Kernels (Generative AI LLM Programming)

AI-Optimized GPU Computing: Learning-Based Kernel Tuning, Memory Optimization, and Parallel Execution in CUDA and Tensor Core Architectures

Linux Kernel Programming Essentials: Learn to Build, Debug, and Optimize Kernel Modules and Device Drivers for Professional Linux Development