Stephanie Thomas heeft haar levenslange passie voor schrijven nagestreefd, van het maken van kinderblaadjes tot het winnen van wedstrijden tijdens haar opleiding. Haar toewijding culmineerde tijdens haar postdoctorale studies, waar ze meerdere manuscripten voltooide. Thomas' diepe verbondenheid met haar geboorteplaats Philadelphia doordringt haar werk en weerspiegelt een diep gevoel voor plaats.
The book offers a comprehensive exploration of contemporary MATLAB coding, showcasing advanced applications in robotics, motors, detection filters, and chemical processes, as well as in aircraft and spacecraft technology. It emphasizes the latest MATLAB language features and guides readers in using MATLAB as a robust software development environment, covering essential topics such as code organization, GUI development, and effective algorithm design and testing.
Exploring themes of renewal and divine intervention, this book emphasizes the transformative power of God's grace in bringing about new beginnings. It encourages readers to embrace the possibility of change and to trust in a higher plan that promises hope and rejuvenation. Through inspirational messages, it invites individuals to open their hearts to the new opportunities that faith can bring into their lives.
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. What you'll learn: How to write code for machine learning, adaptive control and estimation using MATLAB How these three areas complement each other How these three areas are needed for robust machine learning applications How to use MATLAB graphics and visualization tools for machine learning How to code real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB.
Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. Next, you'll learn to model a quadcopter example project in depth. Along the way, you’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You'll apply deep learning for quadcopter control, sensing, and navigation via simulations. Finally, you'll experience how to fly a hardware quadcopter and then use it for deep-learning experiments to motivate future projects and innovations. What You Will Learn Explore deep learning using MATLAB and compare it to algorithms Write a deep learning function in MATLAB and demonstrate with examples Use MATLAB toolboxes related to deep learning Employ a quadcopter case study throughout book Build the quadcopter Discover the prerequisites for using deep learning with our quadcopter Create quadcopter control, sensing, and navigation via simulations Fly a real hardware quadcopter; use it to carry out additional deep-learning experiments Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.
Take your self-care and healing to the next level by redefining rest with these accessible and practical approaches to looking beyond sleep and focusing on other physical, mental, spiritual, and emotional parts of the self.
My name is Beatrice. When I was born, I was blessed with the Sight, an ability to see into the future. I was immediately removed from my parents and enrolled in the Institution, where all Seers are raised and trained. At the age of twelve, I had my first true vision, earning the mark of the raven's wings tattooed by my eyes. And when I turned seventeen, one of my Visions came true. Things haven't been the same since.The Institution now depends on me to keep the City safe from our enemies, the Dreamcatchers, but I'm keeping a secret from everyone. It is a secret that could put us all in danger. A secret that could kill me and everyone close to me...
Politik und Verwaltung stehen vor der Herausforderung, komplexe regionale Innovationsprozesse im Kontext wirtschaftlichen Strukturwandels zu initiieren, zu moderieren und zu steuern. Die Akteure benötigen ein geeignetes Instrumentarium, das ein strukturiertes Management dieser Prozesse unterstützt. Dr. Stephanie Thomas entwickelt anhand aktueller Erkenntnisse aus dem Innovationscontrolling und der Verwaltungswissenschaft einen Ordnungsrahmen für die Planung, Steuerung und Kontrolle solcher Innovationsprozesse. Ihre Konzeption wird in Form eines Informationsmodells generalisiert und dient als Grundlage für die informationstechnische Unterstützung des Controllings in öffentlichen Innovationsprozessen. Eine Fallstudie aus der saarländischen Landesverwaltung veranschaulicht die praktische Umsetzung der vorgestellten Konzepte. Dr. Thomas, nach ihrem betriebswirtschaftlichen Studium an der Universität des Saarlandes, war wissenschaftliche Mitarbeiterin am Institut für Wirtschaftsinformatik mit Fokus auf Prozessmanagement und E-Government. Derzeit ist sie in der saarländischen Landesregierung tätig und verantwortet die Entwicklung und Umsetzung verschiedener Projekte der Innovationsstrategie, einschließlich des Aufbaus eines Controllingsystems für Innovationsprojekte.