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The Complete Book of Ford Mustang, 4th Edition details the development, technical specifications, and history of America’s original pony car, now updated to cover cars through the 2021 model year.
Innovative Methods in Logistics and Supply Chain Management
Now there is a comprehensive reference to provide tools on implementing an energy audit for any type of facility. Containing forms, checklists and handy working aids, this book is for anyone implementing an energy audit. Accounting procedures, rate of return, analysis and software programs are included to provide evaluation tools for audit recommendations. Technologies for electrical, mechanical and building systems are covered in detail.
Complete data on over 50 years of America's original pony car. Ford's Mustang is America's most popular pony car. Whether you're a collector, historian, or armchair enthusiast, you need all the specs and details that in sum define each Mustang year and model. Ford Mustang Red Book is your one-stop information shop--a key companion for shows, auctions or any venue where you need to quickly and easily access accurate reference data. From the first six-cylindered Mustang of the 1964-1/2 model year, through fire-breathing, world-beating Boss and Shelby models, to 2015's all-new Mustang, Ford Mustang Red Book offers all the data and detail Mustang fans lust after. This is an in-depth look at all the Mustang models, including the anniversary and pace cars, and the specialty packages for street and competition driving that have made the Mustang an automotive legend. Don't miss out on the ultimate reference resource on America's best-loved pony car!
Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
The very first book on space systems failures written from an engineering perspective. Focuses on the causes of the failures and discusses how the engineering knowledge base has been enhanced by the lessons learned. Discusses non-fatal anomalies which do not affect the ultimate success of a mission, but which are failures nevertheless. Describes engineering aspects of the spacecraft, making this a valuable complementary reference work to conventional engineering texts.
Deep smarts are the engine of any organization as well as the essential value that individuals build throughout their careers. Distinct from IQ, this type of expertise consists of practical wisdom: accumulated knowledge, know-how, and intuition gained through extensive experience. How do such smarts develop? And what happens when people with deep smarts leave a particular job or the organization? Can any of their smarts be transferred? Should they be? Basing their conclusions on a multi-year research project, Dorothy Leonard and Walter Swap argue that cultivating and managing deep smarts are critical parts of any leader's job. The authors draw on examples from firms of all sizes and types to illustrate the connection between deep smarts and organizational viability and continuous innovation. Leonard and Swap describe the origins and limits of deep smarts and outline processes for cultivating and leveraging them across the organization. Developing an experience repertoire and receiving strategic guidance from wise coaches can help individuals move up the ladder of expertise from novice to master. Addressing a topic of increasing importance as the Boomer generation retires, Deep Smarts challenges leaders to take a hands-on approach to managing the experience-based knowledge shaping the future of their organizations.
The Open Access version of this book, available at https://www.taylorfrancis.com/books/9780429352775 has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. No city environment reflects the meaning of urban life better than a public place. A public place, whatever its nature—a park, a mall, a train platform or a street corner—is where people pass by, meet each other and at times become a victim of crime. With this book, we submit that crime and safety in public places are not issues that can be easily dealt with within the boundaries of a single discipline. The book aims to illustrate the complexity of patterns of crime and fear in public places with examples of studies on these topics contextualized in different cities and countries around the world. This is achieved by tackling five cross-cutting themes: the nature of the city’s environment as a backdrop for crime and fear; the dynamics of individuals’ daily routines and their transit safety; the safety perceptions experienced by those who are most in fear in public places; the metrics of crime and fear; and, finally, examples of current practices in promoting safety. All these original chapters contribute to our quest for safer, more inclusive, resilient, equitable and sustainable cities and human settlements aligned to the Global 2030 Agenda for Sustainable Development.