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Back to the Future DeLorean Time Machine - Bob Gale - Bog - Haynes Publishing Group - Plusbog.dk

Back to the Future DeLorean Time Machine - Bob Gale - Bog - Haynes Publishing Group - Plusbog.dk

Doc Brown''s Owner''s Workshop Manual, Discover the secrets of Doc Brown''s time-traveling DeLorean with the first-ever under-the-bonnet user''s manual featuring never-before-seen schematics and cutaways of cinema''s most iconic car., One of the best-loved movie sagas of all time, the Back to the Future trilogy has left an indelible impact on popular culture. Back to the Future: DeLorean Time Machine: Owner''s Workshop Manual delves into the secrets of the unique vehicle that transports Marty McFly and Doc Brown through time, including both the original version of the car and the updated flying model. From the DeLorean''s unmistakable gull-wing doors to Doc''s cutting-edge modifications, including the Flux Capacitor and Mr. Fusion, this manual offers unprecedented insight into the car''s inner workings., Filled with exclusive illustrations and never-before-disclosed information, Back to the Future: DeLorean Time Machine: Owner''s Workshop Manual is the perfect gift for the trilogy''s legion of fans., Authors, Bob Gale is an Oscar-nominated screenwriter-producer-director best known as co-creator, co-writer, and co-producer of Back to the Future and its sequels. Gale was born and raised in St. Louis, Missouri, and graduated Phi Beta Kappa with a B.A. in Cinema from the University of Southern California in 1973. He has written over thirty screenplays, and his other film credits include 1941, I Wanna Hold Your Hand, Used Cars, Trespass, and Interstate 60. In addition to writing movies, Gale has written comic books including Spider-Man, Batman, and IDW''s Back to the Future title, and has also served as an expert witness in over twenty-five plagiarism cases. Gale lives in Southern California with his wife and dog., Joe Walser combined decades of motion picture art department experience with his passion for Back to the Future to become the world''s leading authority on the DeLorean time machine. In 2013, he led Universal Studios'' official restoration of the actual time machine vehicle used in all three Back to the Future movies, which is now on permanent display at the renowned Petersen Automotive Museum in Los Angeles. Walser has been directly involved in dozens of licensed Back to the Future products and projects, and has cocreated the world''s largest Back to the Future fan celebrations, including the thirtieth anniversary We''re Going Back event in 2015. He lives with his wife, daughter, and three sons in Los Angeles, California.

DKK 212.00
1

Agricultural Extension Worldwide - - Bog - Taylor & Francis Ltd - Plusbog.dk

The Machine in the Biltmore - Nick Allen Brown - Bog - Turner Publishing Company - Plusbog.dk

The Machine in the Biltmore - Nick Allen Brown - Bog - Turner Publishing Company - Plusbog.dk

Farmer-led Extension - Vanessa Scarborough - Bog - Practical Action Publishing - Plusbog.dk

Privatization and the Crisis of Agricultural Extension: The Case of Pakistan - Ahmed Munir - Bog - Taylor & Francis Ltd - Plusbog.dk

Beginning Machine Learning in iOS - Mohit Thakkar - Bog - APress - Plusbog.dk

MATLAB Machine Learning Recipes - Michael Paluszek - Bog - APress - Plusbog.dk

Machine Learners - Adrian (professor Mackenzie - Bog - MIT Press Ltd - Plusbog.dk

Machine Learners - Adrian (professor Mackenzie - Bog - MIT Press Ltd - Plusbog.dk

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie''s account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.

DKK 333.00
1

Machine Learning Systems - Jeff Smith - Bog - Manning Publications - Plusbog.dk

Machine Learning Systems - Jeff Smith - Bog - Manning Publications - Plusbog.dk

Summary Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. Foreword by Sean Owen, Director of Data Science, Cloudera Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology If you’re building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users. About the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well. What's Inside - - Working with Spark, MLlib, and Akka - - Reactive design patterns - - Monitoring and maintaining a large-scale system - - Futures, actors, and supervision - About the Reader Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed. About the Author Jeff Smith builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https: //medium.com/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech/speaking) about various aspects of building real-world machine learning systems. Table of Contents PART 1 - FUNDAMENTALS OF REACTIVE MACHINE LEARNING 1) 1) Learning reactive machine learning 1) 1) Using reactive tools 1) PART 2 - BUILDING A REACTIVE MACHINE LEARNING SYSTEM 1) 1) Collecting data 1) 1) Generating features 1) 1) Learning models 1) 1) Evaluating models 1) 1) Publishing models 1) 1) Responding 1) PART 3 - OPERATING A MACHINE LEARNING SYSTEM 1) 1) Delivering 1) 1) Evolving intelligence 1)

DKK 370.00
1

The Allegorical Architectural Machine - - Bog - John Wiley & Sons Inc - Plusbog.dk

The Allegorical Architectural Machine - - Bog - John Wiley & Sons Inc - Plusbog.dk

The intersection of architecture and the machine has a history that stretches back to the Industrial Revolution, however the machine has recently begun to appear in new ways in speculative architectural drawing and modelling. This issue of AD considers the influence of the machine as an allegorical device for exploring alternative architectural practices, and includes a cross-section of viewpoints from emerging and established international practitioners and academics. Allegory, a technique native to literature, provides a critical method through which machine typologies can contribute to deeper architectural narratives, offering new lenses for challenging or reassembling conventional modes of thought. An allegorical architectural project can unveil a story that enhances our awareness of something important. This AD reveals how engagement with the machine as an allegorical device in architectural discourse provides an avenue for architecture to provoke new ideas in response to current environmental, political, economic, cultural and social issues. At the forefront of this discussion, it extends the criticality of the topic within the broader spectrum of history, theory, philosophy, allegory and new technologies. Contributors: Daniela Atencio and Claudio Rossi, Peter Baldwin, Brian Cantley, Kirill Chelushkin, Giuliano Fiorenzoli, Marissa Lindquist, Bea Martin, Derek Hales, Wes Jones, Brian M Kelly, Tom Kundig, and Caleb White Featured architects and designers: Jones, Partners: Architecture, Olson Kundig, Adolfo Luis Moure Strangis, and Liam Young.

DKK 317.00
1