Products related to Automated:
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Automated Media
In this era of pervasive automation, Mark Andrejevic provides an original framework for tracing the logical trajectory of automated media and their social, political, and cultural consequences.This book explores the cascading logic of automation, which develops from the information collection process through to data processing and, finally, automated decision making.It argues that pervasive digital monitoring combines with algorithmic decision making and machine learning to create new forms of power and control that pose challenges to democratic forms of accountability and individual autonomy alike. Andrejevic provides an overview of the implications of these developments for the fate of human experience, describing the "bias of automation" through the logics of pre-emption, operationalism, and "framelessness." Automated Media is a fascinating and groundbreaking new volume: a must-read for students and researchers of critical media studies interested in the intersections of media, technology, and the digital economy.
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Automated Music Composition
Whether you're a musician with no previous experience in computer programming, or a computer hobbyist interested in learning about music, Automated Music Composition has something to offer.The book contains BASIC language tutorials for beginning programmers; an overview of computer music applications; a systematic exposition of the principles and techniques of automated music composition; insights into contemporary trends in music and computerized sound; principles of MIDI-interfaced computer/synthesizers; a beginning course in music composition, showing in detail how to create a variety of sounds with the computer; step-by-step instructions for using plug-in-and-play programs; interactive MIDI programs listings ready for immediate use; over 50 BASIC routines for automated composition adapted for MIDI sequencers and synthesizers; numerous examples and programming ideas.
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Automated Machine Learning in Action
Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner.Automated Machine Learning in Action, filled with hands-onexamples and written in an accessible style, reveals how premade machine learning components can automate time-consuming ML tasks. Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input.You'll quickly run through machine learning basics thatopen upon AutoML to non-data scientists, before putting AutoML into practicefor image classification, supervised learning, and more. Automated machine learning (AutoML) automates complex andtime-consuming stages in a machine learning pipeline with pre packaged optimal solutions.This frees up data scientists from data processing and manualtuning, and lets domain experts easily apply machine learning models to their projects.
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Hands-On Automated Machine Learning
Automate data and model pipelines for faster machine learning applicationsAbout This Book• Build automated modules for different machine learning components• Understand each component of a machine learning pipeline in depth• Learn to use different open source AutoML and feature engineering platformsWho This Book Is ForIf you're a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you.You'll also find this book useful if you're an ML engineer or data professional interested in developing quick machine learning pipelines for your projects.Prior exposure to Python programming will help you get the best out of this book. What You Will Learn• Understand the fundamentals of Automated Machine Learning systems• Explore auto-sklearn and MLBox for AutoML tasks • Automate your preprocessing methods along with feature transformation• Enhance feature selection and generation using the Python stack• Assemble individual components of ML into a complete AutoML framework• Demystify hyperparameter tuning to optimize your ML models• Dive into Machine Learning concepts such as neural networks and autoencoders • Understand the information costs and trade-offs associated with AutoMLIn DetailAutoML is designed to automate parts of Machine Learning.Readily available AutoML tools are making data science practitioners' work easy and are received well in the advanced analytics community.Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible.In this book, you'll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more.In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning.By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you'll be able to incorporate automation tasks using practical datasets.You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions. Style and approachStep by step approach to understand how to automate your machine learning tasks
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Can cash register systems be automated?
Yes, cash register systems can be automated. With the advancement of technology, many businesses are opting for automated cash register systems to streamline their operations. These systems can automatically calculate and record sales, manage inventory, process payments, and generate reports. Automation not only saves time and reduces human error, but it also provides valuable insights into the business's performance. Overall, automated cash register systems can greatly improve efficiency and accuracy in retail and hospitality industries.
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What are automated supermarkets?
Automated supermarkets are grocery stores that utilize technology to streamline the shopping experience. These supermarkets often feature self-checkout kiosks, inventory management systems, and automated restocking processes. Some automated supermarkets also incorporate robotics and artificial intelligence to assist with tasks such as inventory tracking, shelf stocking, and customer service. Overall, automated supermarkets aim to improve efficiency, reduce labor costs, and enhance the overall shopping experience for customers.
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Are software developers being automated?
While some aspects of software development can be automated, such as code generation and testing, software developers themselves are not being fully automated. Developers still need to apply critical thinking, problem-solving skills, and creativity to design and develop complex software solutions. Automation tools can help streamline certain tasks, but human developers are still essential for creating innovative and high-quality software products.
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How can McDonald's be automated?
McDonald's can be automated through the use of self-service kiosks for ordering, automated cooking and food preparation systems, and robotic systems for tasks such as cleaning and restocking. Self-service kiosks can allow customers to place their orders without the need for a cashier, while automated cooking and food preparation systems can streamline the process of making menu items. Additionally, robotic systems can be used for tasks such as cleaning the restaurant and restocking supplies, reducing the need for human intervention in these areas. Overall, automation can help McDonald's improve efficiency, reduce labor costs, and enhance the customer experience.
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Automated Driving and Driver Assistance Systems
Automated vehicles are set to transform the world. Automated driving vehicles are here already and undergoing serious testing in several countries around the world.This book explains the technologies in language that is easy to understand and accessible to all readers.It covers the subject from several angles but in particular shows the links to existing ADAS technologies already in use in all modern vehicles.There is a lot of hype in the media at the moment about autonomous or driverless cars, and while some manufacturers expect to have vehicles available from 2020, they will not soon take over and it will be some time before they are commonplace.However, it is very important to be ready for the huge change of direction that automated driving will take.This is the first book of its type available and complements Tom Denton's other books.
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Automated Machine Learning : Methods, Systems, Challenges
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems.The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge.However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters.To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself.This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
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Decision Support System and Automated Negotiations
Decision support systems are developed for integrated pest and disease management and nutrition management using open-source technologies as java, android, and low-cost hardware devices like Arduino micro controller.This text discusses the techniques to convert agricultural knowledge in the context of ontology and assist grape growers by providing this knowledge through decision support system.The key features of the book are: Presents the design & development of an ontology-based decision support system for integrated crop management. Discusses the techniques to convert agricultural knowledge in text to ontology. Focuses on an extensive study of various e-Negotiation protocols for automated negotiations Provides an architecture for predicting the opponent’s behaviour and various factors which affect the process of negotiation. The text is primarily written for graduate students, professionals, and academic researchers working in the fields of computer science and engineering, agricultural science, and information technology.
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MaestroDMX Automated AI DMX Lighting Controller
The MaestroDMX Automated AI DMX Lighting Controller is perfect for event organisers and lighting enthusiasts seeking intelligent music-responsive lighting automation. Powered by an advanced AI MaestroDMX listens to music and autonomously controls colour movement and effects adapting the lighting design in real-time. Its web-based app allows you to build cues customise colours and create static scenes with ease. Whether youre working with rented or owned DMX fixtures MaestroDMX offers full control over RGBWAmUV colours gobos and DMX effects all without needing additional downloads. Low-latency performance and a built-in fixture library make it a versatile and easy-to-use solution for any event.
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What are automated Instagram posts?
Automated Instagram posts are scheduled posts that are created and published using third-party tools or software. These tools allow users to plan and schedule their Instagram content in advance, so that the posts are automatically published at a specified date and time. This can be useful for businesses and individuals who want to maintain a consistent posting schedule without having to manually publish each post. Automated Instagram posts can include images, videos, captions, and hashtags, and can help users save time and streamline their social media marketing efforts.
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Will software developers be automated?
While some aspects of software development may become automated, it is unlikely that software developers as a whole will be completely automated. Automation may streamline certain tasks such as code generation, testing, and deployment, but the creative and problem-solving aspects of software development will still require human input. Additionally, software development often involves understanding and addressing complex, unique, and evolving requirements, which may be challenging for automation to fully replicate. Overall, while automation may change the nature of software development, it is unlikely to fully replace the need for human software developers.
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What are non-automated files?
Non-automated files are documents or records that are not processed or managed by automated systems or software. These files are typically stored and managed manually, without the use of digital tools or technology. Non-automated files may include physical paper documents, handwritten notes, or any other type of information that is not stored or processed electronically. These files require manual handling and organization, and may be more susceptible to errors or inefficiencies compared to automated systems.
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What are fully automated gas stations?
Fully automated gas stations are gas stations that operate without any human intervention. Customers can pay for their fuel using self-service kiosks or mobile apps, and the fuel pumps are equipped with technology to dispense the correct amount of fuel. These gas stations often have cameras and sensors to monitor activity and ensure safety. Overall, fully automated gas stations aim to streamline the refueling process and reduce operating costs.
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