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Introduces six simple machines, describing how they work in more complex machinery and how they are used every day.
"Simple Machines! introduces kids to the concept of mechanical advantage and harnesses kid-power by inviting them to build machines of their own design. This book also opens eyes and minds to the diversity of machines in their lives, and sparks the imagination with challenge, humor, and achievable projects"--Publisher.
Still going strong after more than a decade, the Los Angeles-based Machine Project is profiled in this encyclopedic book that explores unconventional ways of seeing and thinking about the world. New essays and images capture the quirky essence of Machine Project, where vacations for plants, concerts for dentists, and operas for dogs are a few of the typical offerings produced at the informal, non-profit, educational institution in Los Angeles. Designed in collaboration with Kimberly Varella, this book reflects on Machine Project's ongoing artistic practice, featuring an extensive selection of photographs of past projects and documentation of new performance projects at the Tang Museum by Haruko Tanaka, Krystal Krunch, Hana van der Kolk, Carmina Escobar, Kamau Patton, Dawn Kasper, Joshua Beckman, Asher Hartman, and Chris Kallmyer among others.
Why is a spring like a simple machine? What forces do you need for a spring to change shape? How do springs store energy? Look at everything from historical examples of springs, such as a ballista, to the role of levers in complex machines, such as racing cars.
Night 1 / My life is perfect. / I have a bowl full of seeds, a cozy pile of wood shavings, and room to run. / I'm never leaving here. / Question: Who's the luckiest hamster in the world? / Answer: ME! Seymour the hamster has the perfect life. He has a spacious cage, a constant food supply, and a FuzzyBoy 360 exercise wheel that lets him run to his heart's content. Life could not be better. Or could it? When Pearl the cat tells Seymour of the goodies beyond the safe confines of his cage, he starts to think he's missing out. And out is the new in! It's only after Seymour is out of his cage that he begins to fully appreciate his safe and cozy home.
With Build Your Own Chain Reaction Machines, you’ll create 13 zany and awesome mechanical contraptions using stuff from around the house. Build Your Own Chain Reaction Machines invites you into the wonderful world of crazy contraptions inspired by the amazing artwork of renowned cartoonist, engineer, and inventor Rube Goldberg, whose wacky, imaginary machines accomplished a simple task by taking a hilariously complicated route. In this entertaining and instructive book, mechanical engineer and educator Paul Long gives step-by-step instructions for making low-tech devices using everyday objects in inspired and ingenious ways. Each of the 13 projects demonstrates how to build the machine's various elements and explains how they work together to make a mind-boggling mechanism that delivers hours of fun and fascination. Machines for Your Room. Be the master of your domain with the Door Knocker, Light Switcher, and Door Opener. Machines for Around the House. Get your chores done (and improve your personal hygiene) with the Plant Waterer, Toothpaste Squeezer, and Soap Dispenser. Machines for Fun and Nonsense.The Flag Raiser, Marble Launcher, Music Maker, and Balloon Popper are guaranteed to both amaze and amuse. Machines for Food. With the Vending Machine, Candy Dispenser, and Cookie Dunker, snacking has never been so fun! You'll also find interesting sidebars on the science behind each gadget, plus tips and tricks for success. Build Your Own Chain Reaction Machines gives you the know-how to create your own incredible chain reactions!
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you’re new to F#, this book will give you everything you need to get started. If you’re already familiar with F#, this is your chance to put the language into action in an exciting new context. In a series of fascinating projects, you’ll learn how to: Build an optical character recognition (OCR) system from scratch Code a spam filter that learns by example Use F#’s powerful type providers to interface with external resources (in this case, data analysis tools from the R programming language) Transform your data into informative features, and use them to make accurate predictions Find patterns in data when you don’t know what you’re looking for Predict numerical values using regression models Implement an intelligent game that learns how to play from experience Along the way, you’ll learn fundamental ideas that can be applied in all kinds of real-world contexts and industries, from advertising to finance, medicine, and scientific research. While some machine learning algorithms use fairly advanced mathematics, this book focuses on simple but effective approaches. If you enjoy hacking code and data, this book is for you.
With 35 projects that you'll love to make and a helpful techniques section, this book will teach you all about sewing machines. Start out with Clothes and Accessories, where you can make a felt collar and cosy scarf, as well as a pretty skirt.
Discusses how to complete DIY projects dealing with basic machines and robots, including some of history's most incredible inventions and scientific discoveries.
Broken Time Machines: Daisy Patton, designed by Joshua Gamma and edited by Yasmeen Siddiqui, is comprised of writings by award-winning Irish poet and novelist Elaine Feeney; celebrated American poet Sommer Browning; British scholar Salma Ahmad Caller; French feminist literary critic Adèle Cassigneul; American historian William Max Nelson; and American critic Kealey Boyd. Together these contributors have created a sensitively designed book that behaves as a way-finding device for interpreting the work of emerging artist Daisy Patton.