This is an open, unconventional textbook covering mathematics, computing, and artificial intelligence from foundational principles. It's designed for practitioners seeking a deep understanding, moving beyond exam preparation and focusing on real-world application. The author, drawing from years of experience in AI/ML, has compiled notes that prioritize intuition, context, and clear explanations, avoiding dense notation and outdated material.
The compendium covers a broad range of topics, from vectors and matrices to machine learning, computer vision, and multimodal learning, with future chapters planned for areas like data structures and AI inference.
The compendium covers a broad range of topics, from vectors and matrices to machine learning, computer vision, and multimodal learning, with future chapters planned for areas like data structures and AI inference.
Introduction to the OSOYOO V4.0 Robot Car for Raspberry Pi, highlighting its advanced features and capabilities for complex robotic projects compared to Arduino-based kits.
Learn how to use Python and OpenCV to perform face detection and recognition. This tutorial also covers concepts like bounding boxes, intersection over union (IoU), and grayscale conversion.
