There is no excerpt because this is a protected post.
Category: Algorithms
An algorithm is a finite set of well-defined rules or steps for solving a problem or performing a task. In computer science, algorithms form the foundation of programming, enabling computers to process data and perform functions efficiently. Learn how to design, analyze, and optimize algorithms for various applications.
Protected: Facial Recognition
There is no excerpt because this is a protected post.
Protected: 160 User Biometric Data Point Collecting
There is no excerpt because this is a protected post.
Convex Optimization for Machine Learning
Description This book covers an introduction to convex optimization, one of the powerful and tractable optimization problems that can be efficiently solved on a computer. The goal of the book is to help develop a sense of what convex optimization is, and how it can be used in a widening array of practical contexts with… Continue reading Convex Optimization for Machine Learning
A Deep Learning Overview
Deep learning is a subset of machine learning that involves training artificial neural networks with multiple layers to recognize and classify patterns in data. The term “deep” refers to the fact that these neural networks have many layers, which allows them to learn complex representations of data. In recent years, deep learning has made significant… Continue reading A Deep Learning Overview
Notable AI Research
Artificial Intelligence (AI) has become one of the most exciting and rapidly growing fields of research. With the exponential growth of data and the increasing availability of computational power, researchers are pushing the boundaries of what is possible. Major areas of AI research include natural language processing (NLP), computer vision, reinforcement learning, and generative modeling.… Continue reading Notable AI Research
Common Models in Autonomous Vehicles, Unmanned Vehicles, and Drones
Common Neural Network Models in Autonomous Vehicles, Unmanned Vehicles, and Drones Below is a list of neural network architectures commonly applied in autonomous systems, along with their applications and relevant vehicle types: Convolutional Neural Networks (CNNs):Used extensively for image and video analysis, CNNs are fundamental for visual perception tasks in autonomous vehicles and drones. Recurrent… Continue reading Common Models in Autonomous Vehicles, Unmanned Vehicles, and Drones