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Machine Project
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Download or read book Machine Project written by Mark Allen and published by Prestel. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Soul of A New Machine by : Tracy Kidder
Download or read book The Soul of A New Machine written by Tracy Kidder and published by Back Bay Books. This book was released on 2011-08-23 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tracy Kidder's "riveting" (Washington Post) story of one company's efforts to bring a new microcomputer to market won both the Pulitzer Prize and the National Book Award and has become essential reading for understanding the history of the American tech industry. Computers have changed since 1981, when The Soul of a New Machine first examined the culture of the computer revolution. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations. The Soul of a New Machine is an essential chapter in the history of the machine that revolutionized the world in the twentieth century. "Fascinating...A surprisingly gripping account of people at work." --Wall Street Journal
Book Synopsis My First Sewing Machine Book by : Emma Hardy
Download or read book My First Sewing Machine Book written by Emma Hardy and published by Ryland Peters & Small. This book was released on 2014-02-13 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Portrait Machine Project by : Carlo Van de Roer
Download or read book The Portrait Machine Project written by Carlo Van de Roer and published by Damiani Limited. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In The Portrait Machine Project, Brooklyn-based New Zealand photographer Carlo Van de Roer (born 1975) explores the idea that a camera can reveal otherwise hidden facets of a subject's character, and their relationship with the photographer and viewer. Van de Roer uses a Polaroid aura camera, developed in the 1970s in an attempt to record what a psychic might see. His subjects--friends, family, artists Miranda July, Terence Koh and Aurel Schmidt, author James Frey--are connected by sensors to the camera, which translates biofeedback into information about their characters and how they are viewed. The camera depicts this information as color in the Polaroid and as a printed description and diagram. In this, his first book, Van de Roer prompts us to question what we expect from a portrait, particularly when it's of someone we think we know.
Book Synopsis Building Machine Learning Powered Applications by : Emmanuel Ameisen
Download or read book Building Machine Learning Powered Applications written by Emmanuel Ameisen and published by "O'Reilly Media, Inc.". This book was released on 2020-01-21 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment
Download or read book Machine Embroidered Art written by Holt and published by Search Press Limited. This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning Projects for .NET Developers by : Mathias Brandewinder
Download or read book Machine Learning Projects for .NET Developers written by Mathias Brandewinder and published by Apress. This book was released on 2015-07-09 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis TensorFlow Machine Learning Projects by : Ankit Jain
Download or read book TensorFlow Machine Learning Projects written by Ankit Jain and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects Key FeaturesUse machine learning and deep learning principles to build real-world projectsGet to grips with TensorFlow's impressive range of module offeringsImplement projects on GANs, reinforcement learning, and capsule networkBook Description TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you’ll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem. To start with, you’ll get to grips with using TensorFlow for machine learning projects; you’ll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification. As you make your way through the book, you’ll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You’ll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts. By the end of this book, you’ll have gained the required expertise to build full-fledged machine learning projects at work. What you will learnUnderstand the TensorFlow ecosystem using various datasets and techniquesCreate recommendation systems for quality product recommendationsBuild projects using CNNs, NLP, and Bayesian neural networksPlay Pac-Man using deep reinforcement learningDeploy scalable TensorFlow-based machine learning systemsGenerate your own book script using RNNsWho this book is for TensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with basic knowledge of TensorFlow. This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniques
Book Synopsis Machine Learning for Kids by : Dale Lane
Download or read book Machine Learning for Kids written by Dale Lane and published by No Starch Press. This book was released on 2021-01-19 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+
Book Synopsis Machine Learning Bookcamp by : Alexey Grigorev
Download or read book Machine Learning Bookcamp written by Alexey Grigorev and published by Simon and Schuster. This book was released on 2021-11-23 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application. Summary In Machine Learning Bookcamp you will: Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images Deploy ML models to a production-ready environment The only way to learn is to practice! In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three! About the book Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you’ll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You’ll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills! What's inside Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Deploy ML models to a production-ready environment About the reader Python programming skills assumed. No previous machine learning knowledge is required. About the author Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data. Table of Contents 1 Introduction to machine learning 2 Machine learning for regression 3 Machine learning for classification 4 Evaluation metrics for classification 5 Deploying machine learning models 6 Decision trees and ensemble learning 7 Neural networks and deep learning 8 Serverless deep learning 9 Serving models with Kubernetes and Kubeflow
Book Synopsis The Novel-Machine by : Walter Kendrick
Download or read book The Novel-Machine written by Walter Kendrick and published by JHU Press. This book was released on 2019-12-01 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1980. The first section of The Novel-Machine consists of five short chapters that rewrite Autobiography as an undisguised theory of realistic fiction, exploring its paradoxes while placing it in the context of mid-Victorian criticism. Chapters 6 and 7 survey the manifestations in Trollope's novels of what his theory sets down as the primary difference of realism: its way of telling its readers how to read. Chapter 8 is a close reading of He Knew He Was Right, a neglected novel that, in Kendrick's estimation, deserves to stand in much higher critical esteem than it does. Kendrick shows how deeply woven into the texture of Trollope's writing the rhetoric of realism is. Kendrick's reading is a departure from the usual method of criticizing Trollope—surveying the whole of his work a novel at a time, saying a little about every novel and always too little about each.
Book Synopsis The Charisma Machine by : Morgan G. Ames
Download or read book The Charisma Machine written by Morgan G. Ames and published by MIT Press. This book was released on 2019-11-19 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating examination of technological utopianism and its complicated consequences. In The Charisma Machine, Morgan Ames chronicles the life and legacy of the One Laptop per Child project and explains why—despite its failures—the same utopian visions that inspired OLPC still motivate other projects trying to use technology to “disrupt” education and development. Announced in 2005 by MIT Media Lab cofounder Nicholas Negroponte, One Laptop per Child promised to transform the lives of children across the Global South with a small, sturdy, and cheap laptop computer, powered by a hand crank. In reality, the project fell short in many ways—starting with the hand crank, which never materialized. Yet the project remained charismatic to many who were captivated by its claims of access to educational opportunities previously out of reach. Behind its promises, OLPC, like many technology projects that make similarly grand claims, had a fundamentally flawed vision of who the computer was made for and what role technology should play in learning. Drawing on fifty years of history and a seven-month study of a model OLPC project in Paraguay, Ames reveals that the laptops were not only frustrating to use, easy to break, and hard to repair, they were designed for “technically precocious boys”—idealized younger versions of the developers themselves—rather than the children who were actually using them. The Charisma Machine offers a cautionary tale about the allure of technology hype and the problems that result when utopian dreams drive technology development.
Book Synopsis Quilt Projects by Machine by : Cy DeCosse Incorporated
Download or read book Quilt Projects by Machine written by Cy DeCosse Incorporated and published by Random House Canada. This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learn easy sewing methods for making creative quilts ... experienced quilters share their secrets for efficient sewing and their ideas for updating traditional quilt designs. Included in this book are clear step-by-step instructions for projects such as wall hangings, bed quilts, and table runners. As you brows through this book, you will be inspired by quilt after quilt in beautiful designs and colors. Whatever your skill level, you too can make fabulous quilts the easy way."--Page [4] cover.
Book Synopsis Making Machines with Springs by : Chris Oxlade
Download or read book Making Machines with Springs written by Chris Oxlade and published by Capstone Classroom. This book was released on 2015 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Time Machine illustrated by : H. G. Wells
Download or read book The Time Machine illustrated written by H. G. Wells and published by BoD - Books on Demand. This book was released on 2022-06-22 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Time Machine by H. G. Wells is a science fiction classic, which lends itself well to visualization. This version, illustrated by Yoann Laurent-Rouault, an illustrator master who graduated from the Beaux-Arts, and published in the international literary collection Memoria Books, is a reference on the time travel theme. Wells transports us in the year 802 701, in a society made up of the “Elois”, who live peacefully in a kind of big Garden of Eden, eating fruits and sleeping high up, while underground lives another species, also descending from men, the “Morlocks”, who do not stand the light anymore, living in the dark for too long now. At night, they return to the surface, going back up by the wells, in order to kidnap some Elois that they eat ; these last became livestock unknowingly. In The Time Machine, made into a movie several times, the last of them in 2002 by Simon Wells, the great-grandson of H. G. Wells, time is both a pretext to move the class struggle and warn... and also, in a way, a full character, who fascinates, arbitrates, transcends... The illustrations come to reinforce the time travel and provide a new experience to the reader.
Book Synopsis Broken Time Machines by : Daisy Patton
Download or read book Broken Time Machines written by Daisy Patton and published by . This book was released on 2021-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Art in the Twentieth Century by : Andreas Broeckmann
Download or read book Machine Art in the Twentieth Century written by Andreas Broeckmann and published by MIT Press. This book was released on 2016-12-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: An investigation of artists' engagement with technical systems, tracing art historical lineages that connect works of different periods. “Machine art” is neither a movement nor a genre, but encompasses diverse ways in which artists engage with technical systems. In this book, Andreas Broeckmann examines a variety of twentieth- and early twenty-first-century artworks that articulate people's relationships with machines. In the course of his investigation, Broeckmann traces historical lineages that connect art of different periods, looking for continuities that link works from the end of the century to developments in the 1950s and 1960s and to works by avant-garde artists in the 1910s and 1920s. An art historical perspective, he argues, might change our views of recent works that seem to be driven by new media technologies but that in fact continue a century-old artistic exploration. Broeckmann investigates critical aspects of machine aesthetics that characterized machine art until the 1960s and then turns to specific domains of artistic engagement with technology: algorithms and machine autonomy, looking in particular at the work of the Canadian artist David Rokeby; vision and image, and the advent of technical imaging; and the human body, using the work of the Australian artist Stelarc as an entry point to art that couples the machine to the body, mechanically or cybernetically. Finally, Broeckmann argues that systems thinking and ecology have brought about a fundamental shift in the meaning of technology, which has brought with it a rethinking of human subjectivity. He examines a range of artworks, including those by the Japanese artist Seiko Mikami, whose work exemplifies the shift.
