{"product_id":"hardware-aware-probabilistic-machine-learning-models-learning-inference-and-use-cases-von-laura-isabel-galindez-olascoaga-marian-verhelst-wannes-meert","title":"Hardware-Aware Probabilistic Machine Learning Models","description":"\n                                \n                \u003cp\u003eThis book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. \u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThe book first motivates extreme-edge computing in the context of the Internet of Things (IoT) paradigm. Then, it briefly reviews the steps involved in the execution of a machine learning task and identifies the implications associated with implementing this type of workload in resource-constrained devices. The core of this book focuses on augmenting and exploiting the properties of Bayesian Networks and Probabilistic Circuits in order to endow them with hardware-awareness. The proposed models can encode the properties of various device sub-systems that are typically not considered by other resource-aware strategies, bringing about resource-saving opportunities that traditional approaches fail to uncover.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003e\n                                        The performance of the proposed models and strategies is empirically evaluated for several use cases. All of the considered examples show the potential of attaining significant resource-saving opportunities with minimal accuracy losses at application time. Overall, this book constitutes a novel approach to hardware-algorithm co-optimization that further bridges the fields of Machine Learning and Electrical Engineering.\n                    \n                    \u003cb\u003e\n                                                \n                        \u003ci\u003e \u003c\/i\u003e\n                                            \n                    \u003c\/b\u003e\n                                    \n                \u003c\/p\u003e\n                                \n                \u003cp\u003e\n                                        \n                    \u003cbr\u003e\n                                    \n                \u003c\/p\u003e\n                                \n                \u003cbr\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783030740412\"\u003e\u003ch3\u003eLearning, Inference and Use Cases\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783030740443\"\u003e\u003ch3\u003eLearning, Inference and Use Cases\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Hardcover - 9783030740412","offer_id":39317501608029,"sku":"9783030740412","price":85.59,"currency_code":"EUR","in_stock":true},{"title":"Softcover - 9783030740443","offer_id":40143508439133,"sku":"9783030740443","price":64.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/36d9c8d6-b391-41ca-a4c5-1cb994f4162f.jpg?v=1775277796","url":"https:\/\/shop.autorenwelt.de\/en\/products\/hardware-aware-probabilistic-machine-learning-models-learning-inference-and-use-cases-von-laura-isabel-galindez-olascoaga-marian-verhelst-wannes-meert","provider":"Autorenwelt Shop","version":"1.0","type":"link"}