Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi. The Prolog language will also be introduced and used to demonstrate fundamental AI concepts. In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors and actuators will be required. Beginners and hobbyists can jump right in to creating AI projects with the Raspberry PI using this book. What You'll Learn What AI is and—as importantly—what it is not Inference and expert systems Machine learning both shallow and deep Fuzzy logic and how to apply to an actual control system When AI might be appropriate to include in a system Constraints and limitations of the Raspberry Pi AI implementation Who This Book Is For Hobbyists, makers, engineers involved in designing autonomous systems and wanting to gain an education in fundamental AI concepts, and non-technical readers who want to understand what AI is and how it might affect their lives.
Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you’ll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects. What You'll Learn Acquire a working knowledge of current ML Use the Raspberry Pi to implement ML techniques and algorithms Apply AI and ML tools and techniques to your own work projects and studies Who This Book Is For Engineers and scientists but also experienced makers and hobbyists. Motivated high school students who desire to learn about ML can benefit from this material with determination.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Create your own STM32 programs with ease!Get up and running programming the STM32 line of microcontrollers from STMicroelectronics using the hands-on information contained in this easy-to-follow guide. Written by an experienced electronics hobbyist and author, Programming with STM32: Getting Started with the Nucleo Board and C/C++ features start-to-finish projects that clearly demonstrate each technique. Discover how to set up a stable development toolchain, write custom programs, download your programs to the development board, and execute them. You will even learn how to work with external servos and LED displays!•Explore the features of STM32 microcontrollers from STMicroelectonics•Configure your Nucleo-64 Microcontroller development board•Establish a toolchain and start developing interesting applications •Add specialized code and create cool custom functions•Automatically generate C code using the STM32CubeMX application•Work with the ARM Cortex Microcontroller Software Interface Standard and the STM hardware abstraction layer (HAL).•Control servos, LEDs, and other hardware using PWM•Transfer data to and from peripheral devices using DMA•Generate waveforms and pulses through your microcontroller’s DAC
The family business is a global phenomenon, and is particularly prominent in tourism and hospitality. In many cases, the family business was developed for the purpose of facilitating personal and family goals. For example, in rural areas, farmers can use tourism as a way to generate additional income, thereby remaining in the area and retaining family property. Running a bed and breakfast establishment is a way to mix family and work. Lifestyle, locational and autonomy motives are the norm, but profit and growth-oriented entrepreneurs are also found within family businesses.This book is the first academic treatment of family business issues within the tourism and hospitality industry. It provides comprehensive assessment of ownership, management and family-related concerns across the entire business and family life cycle. Many new international case studies of real family businesses are used to illustrate key points. The book will be of significant interest to researchers and students in tourism and hospitality, small business and entrepreneurship studies, as well as to owners and potential investors in family businesses.
Do perception and action share some of the same cognitive structures? What is the relationship between cognitive processes for sequencing, timing, and error detection in perception and action? Such issues form the basis for this fresh and absorbing study of the perception and production of language and other cognitive skills such as chess and piano playing. The Organization of Perception and Action provides a coherent and innovative synthesis of available data, challenges classical theories, and offers new insights into relations between language, thought, and action. Its broad, interdisciplinary approach and wealth of detailed examples extend from the motor control of typing to the role of attention in perception and action and the flexibility of conscious vs. unconscious processes. Not only researchers, but anyone with a general interest in the cognitive and brain sciences will find in this book new and interesting insights into topics long considered fundamental to psychology and related disciplines.
Long recognized as the leading text in this dynamic field, Rogers’ Textbook of Pediatric Intensive Care provides comprehensive, clear explanations of both the principles underlying pediatric critical care disease and trauma as well as how these principles are applied. Led by Drs. Donald H. Shaffner, John J. McCloskey, Elizabeth A. Hunt, and Robert C. Tasker, along with a team of 27 section editors as well as more than 250 expert global contributors, the fully revised Sixth Edition brings you completely up to date on today’s understanding, treatments, technologies, and outcomes regarding critical illness in children.
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