03608nam a22005535i 4500 979-8-8688-0530-1 DE-He213 20251030114631.0 cr nn 008mamaa 241220s2024 xxu| s |||| 0|eng d 9798868805301 979-8-8688-0530-1 10.1007/979-8-8688-0530-1 doi TK5105.8857 UT bicssc COM043000 bisacsh UT thema Kanagachidambaresan, G.R. author. aut http://id.loc.gov/vocabulary/relators/aut 89295 Learning Algorithms for Internet of Things [electronic resource] : Applying Python Tools to Improve Data Collection Use for System Performance / by G.R. Kanagachidambaresan, N. Bharathi. 1st ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XIX, 299 p. 64 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Maker Innovations Series, 2948-2550 Chapter 1: Learning Algorithms for IoT -- Chapter 2: Python Packages for Learning Algorithms -- Chapter 3: Supervised Algorithms -- Chapter 4: Unsupervised Algorithms -- Chapter 5: Reinforcement Algorithms -- Chapter 6: Artificial Neural Networks for IoT -- Chapter 7: Convolutional Neural Networks for IoT -- Chapter 8: LSTM, GAN, and RNN -- Chapter 9: Optimization Methods. 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. Internet of things. 58845 Telecommunication. Python (Computer program language). 64608 Internet of Things. 58845 Communications Engineering, Networks. Python. 47553 Bharathi, N. author. aut http://id.loc.gov/vocabulary/relators/aut 89296 SpringerLink (Online service) Springer Nature eBook Printed edition: 9798868805295 Printed edition: 9798868805318 Printed edition: 9798868813641 Maker Innovations Series, 2948-2550 68066 https://doi.org/10.1007/979-8-8688-0530-1 ZDB-2-CWD ZDB-2-SXPC 65906 65906