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Category: Mathematics
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Linear Algebra A Course For Physicists and Engineers
About this book In order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements such as theorems and proofs too much. It is also designed to… Continue reading Linear Algebra A Course For Physicists and Engineers
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
The Mathematics of Quantum Mechanics (Concepts of Physics)
In this book we expose the mathematics for quantum mechanics. The main topics are: vectors, ket and bra space, properties and operations, product for a scalar, internal product between ket and bra, norm and Schwarz inequality, orthogonality, operators and their operations, operator acting on kets as a measure of an observable for a physical state,… Continue reading The Mathematics of Quantum Mechanics (Concepts of Physics)
Essential Mathematics for Quantum Computing
Essential Mathematics for Quantum Computing: A beginner’s guide to just the math you need without needless complexities by Leonard S. Woody III (Author) Book Description Quantum computing is an exciting subject that offers hope to solve the world’s most complex problems at a quicker pace. It is being used quite widely in different spheres of… Continue reading Essential Mathematics for Quantum Computing
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