Innovations in Intelligent Machines - 1 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Innovations in Intelligent Machines - 1 write by Javaan Singh Chahl. This book was released on 2007-07-07. Innovations in Intelligent Machines - 1 available in PDF, EPUB and Kindle. This book is a collection of chapters on the state of art in the area of intelligent machines. This research provides a sound basis to make autonomous systems human-like. The contributions include an introduction to intelligent machines; supervisory control of multiple UAVs; and intelligent autonomous UAV task allocation. Also included is material on UAV path planning; dynamic path planning ; state estimation of micro air vehicles and architecture for soccer playing robots, as well as robot perception.
Innovations in Intelligent Machines -3
Innovations in Intelligent Machines -3 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Innovations in Intelligent Machines -3 write by Ivan Jordanov. This book was released on 2012-09-05. Innovations in Intelligent Machines -3 available in PDF, EPUB and Kindle. This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing. It presents examples of experimental and real-world investigations that demonstrate contemporary achievements and advances in the area of intelligent systems. This book will prove as a valuable source of up-to-date theoretical and application oriented research in intelligent systems for researchers and postgraduate students.
Innovations in Intelligent Machines -2
Innovations in Intelligent Machines -2 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Innovations in Intelligent Machines -2 write by Toyohide Watanabe. This book was released on 2011-10-19. Innovations in Intelligent Machines -2 available in PDF, EPUB and Kindle. This research volume is a continuation of our previous volume on intelligent machines. We have laid the foundation of intelligent machines in Springer SCI Series Volume 70 by including the possible and successful applications of computational intelligence paradigms in machines for mimicking the human behaviour. The present volume includes the recent advances in intelligent paradigms and innovative applications such as document processing, language translation, English academic writing, crawling system for web pages, web-page retrieval technique, aggregate k-Nearest Neighbour for answering queries, context-aware guide, recommendation system for museum, meta-learning environment, case-based reasoning approach for adaptive modelling in exploratory learning, discussion support system for understanding research papers, system for recommending e-Learning courses, community site for supporting multiple motor-skill development, community size estimation of internet forum, lightweight reprogramming for wireless sensor networks, adaptive traffic signal controller and virtual disaster simulation system. This book is directed to engineers, scientists, researchers, professor and the undergraduate/postgraduate students who wish to explore the applications of intelligent paradigms further.
Innovations in Intelligent Machines-4
Innovations in Intelligent Machines-4 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Innovations in Intelligent Machines-4 write by Colette Faucher. This book was released on 2013-11-18. Innovations in Intelligent Machines-4 available in PDF, EPUB and Kindle. This research volume is a continuation of our previous volumes on intelligent machine. It is divided into three parts. Part I deals with big data and ontologies. It includes examples related to the text mining, rule mining and ontology. Part II is on knowledge-based systems. It includes context-centered systems, knowledge discovery, interoperability, consistency and systems of systems. The final part is on applications. The applications involve prediction, decision optimization and assessment. This book is directed to the researchers who wish to explore the field of knowledge engineering further.
Deploying Machine Learning
Deploying Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deploying Machine Learning write by Robbie Allen. This book was released on 2019-05. Deploying Machine Learning available in PDF, EPUB and Kindle. Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
