Internet Things by Bharathi (26 results)

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Paperback. Condition: New. The advent of Internet of Things (IoT) has paved the way for sensing the environment and smartly responding. This can be further improved by enabling intelligence to the system with the support of machine learning and deep learning techniques. This book describes learning algorithms that can be applied to IoT-based, real-time applications and improve the utilization of data collected and the overall performance of the system.Many societal challenges and problems can be resolved using a better amalgamation of IoT and learning algorithms. "Smartness" is the buzzword that is realized only with the help of learning algorithms. In addition, it supports researchers with code snippets that focus on the implementation and performance of learning algorithms on IoT based applications such as healthcare, agriculture, transportation, etc. These snippets include Python packages such as Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and more.Learning Algorithms for Internet of Things provides you with an easier way to understand the purpose and application of learning algorithms on IoT.What you'll LearnSupervised algorithms such as Regression and Classification.Unsupervised algorithms, like K-means clustering, KNN, hierarchical clustering, principal component analysis, and more.Artificial neural networks for IoT (architecture, feedback, feed-forward, unsupervised).Convolutional neural networks for IoT (general, LeNet, AlexNet, VGGNet, GoogLeNet, etc.).Optimization methods, such as gradient descent, stochastic gradient descent, Adagrad, AdaDelta, and IoT optimization.Who This Book Is For Students interested in learning algorithms and their implementations, as well as researchers in IoT looking to extend their work with learning algorithms.…

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Paperback. Condition: New. The advent of Internet of Things (IoT) has paved the way for sensing the environment and smartly responding. This can be further improved by enabling intelligence to the system with the support of machine learning and deep learning techniques. This book describes learning algorithms that can be applied to IoT-based, real-time applications and improve the utilization of data collected and the overall performance of the system.Many societal challenges and problems can be resolved using a better amalgamation of IoT and learning algorithms. "Smartness" is the buzzword that is realized only with the help of learning algorithms. In addition, it supports researchers with code snippets that focus on the implementation and performance of learning algorithms on IoT based applications such as healthcare, agriculture, transportation, etc. These snippets include Python packages such as Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and more.Learning Algorithms for Internet of Things provides you with an easier way to understand the purpose and application of learning algorithms on IoT.What you'll LearnSupervised algorithms such as Regression and Classification.Unsupervised algorithms, like K-means clustering, KNN, hierarchical clustering, principal component analysis, and more.Artificial neural networks for IoT (architecture, feedback, feed-forward, unsupervised).Convolutional neural networks for IoT (general, LeNet, AlexNet, VGGNet, GoogLeNet, etc.).Optimization methods, such as gradient descent, stochastic gradient descent, Adagrad, AdaDelta, and IoT optimization.Who This Book Is For Students interested in learning algorithms and their implementations, as well as researchers in IoT looking to extend their work with learning algorithms.…

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Internet of Things is the evolutionary step of the Internet that creates a worldwide infrastructure interconnecting machines and humans. As the Internet becamepublic in the early 1990s, the first wave of its exploitation and deployment wasmainly focused on the impact to everyday services and applications that changedthe known models for financial transactions, shopping, news feeding and information sharing. It was a revolution that digitized a wide range of services as we knewthem, from banking and retail shopping to face-to-face communication and government services. The first two decades of the Internet revolution focused strongly onconsumer services and businesses, but human-centric. New business modelsappeared for banking, for online shopping, video communication, etc. for consumers. Business to business models and the cloud have impacted businesses significantly, wiping out large sectors of industry that did not adjust to the fast pace of therevolution.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The advent of Internet of Things (IoT) has paved the way for sensing the environment and smartly responding. This can be further improved by enabling intelligence to the system with the support of machine learning and deep learning techniques. This book describes learning algorithms that can be applied to IoT-based, real-time applications and improve the utilization of data collected and the overall performance of the system.Many societal challenges and problems can be resolved using a better amalgamation of IoT and learning algorithms. 'Smartness' is the buzzword that is realized only with the help of learning algorithms. In addition, it supports researchers with code snippets that focus on the implementation and performance of learning algorithms on IoT based applications such as healthcare, agriculture, transportation, etc. These snippets include Python packages such as Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and more.Learning Algorithms for Internet of Things provides you with an easier way to understand the purpose and application of learning algorithms on IoT.What you'll LearnSupervised algorithms such as Regression and Classification.Unsupervised algorithms, like K-means clustering, KNN, hierarchical clustering, principal component analysis, and more.Artificial neural networks for IoT (architecture, feedback, feed-forward, unsupervised).Convolutional neural networks for IoT (general, LeNet, AlexNet, VGGNet, GoogLeNet, etc.).Optimization methods, such as gradient descent, stochastic gradient descent, Adagrad, AdaDelta, and IoT optimization.Who This Book Is For Students interested in learning algorithms and their implementations, as well as researchers in IoT looking to extend their work with learning algorithms 320 pp. Englisch.…

Taschenbuch. Condition: Neu. Inside the Internet of Things | Bharathi S | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Notion Press | EAN 9781637142431 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

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