Bøger af Phil Kim

Has anyone experienced difficulty and confusion in understanding what the Euler angles, quaternions, and direction cosine matrices are, and furthermore, about the relationships among them? This book is for those who had struggled to figure out what all the aforementioned concepts are, and also provides a practical example that could be easily followed with MATLAB. In addition, some surface of linear motions will also be touched so that in the end, a set of equations of motion that describe the motion of a rigid body in three-dimensional space could be constructed. Following step by step, the reader will be gradually immersed into the joy of learning and applying basic attitude dynamics. The book will be good for those who are already familiar in the field by helping them reorganize the concepts and knowledge they have learned before.

Dive into the exciting world of deep learning and artificial intelligence using MATLAB with "MATLAB Deep Learning With Machine Learning, Neural Networks, and Artificial Intelligence" by Phil Kim. This comprehensive guide takes you on a journey through the fascinating realm of machine learning, neural networks, and AI, all within the powerful framework of MATLAB.Inside the pages of this book, you'll embark on a hands-on exploration of MATLAB's robust capabilities for developing cutting-edge machine learning models. Phil Kim, an expert in the field, provides you with a step-by-step approach to harness the true potential of MATLAB, enabling you to unlock the secrets of deep learning and AI.Key Features:Fundamental Concepts: Start with the basics and build a strong foundation in machine learning, neural networks, and artificial intelligence.Hands-On MATLAB Tutorials: Get practical, real-world experience through numerous MATLAB examples and exercises that guide you through the learning process.Building and Training Neural Networks: Master the art of creating neural networks, training them, and optimizing their performance for a wide range of applications.Deep Dive into Deep Learning: Learn about convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), and understand how to implement them in MATLAB.AI Applications: Discover how to apply your newfound knowledge to solve real-world problems in fields like computer vision, natural language processing, and more.MATLAB Tools and Resources: Leverage the extensive MATLAB toolset for data preprocessing, model evaluation, and deployment.Advanced Techniques: Explore advanced topics like transfer learning, reinforcement learning, and deploying your models to edge devices.Whether you are a seasoned data scientist looking to enhance your skills or a newcomer to the world of deep learning and AI, "MATLAB Deep Learning With Machine Learning, Neural Networks, and Artificial Intelligence" offers a comprehensive and accessible approach to mastering the art of intelligent computing. Unlock the full potential of MATLAB and dive into the future of technology with this essential guide by Phil Kim.

Starting with machine learning fundamentals, this book moves on to neural networks, deep learning, and convolutional neural networks, using MATLAB as the underlying programming language and tool for examples and case studies in this book to tackle some of today's real world big data, smart bots, and other complex data problems.