Titlebook: Machine Learning for Computer Scientists and Data Analysts; From an Applied Pers Setareh Rafatirad,Houman Homayoun,Sai Manoj Puduko Textboo

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Machine Learning for Computer Scientists and Data Analysts978-3-030-96756-7

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What Is Applied Machine Learning?to turn data into actionable results and perform a certain task such as detecting a malicious activity in an IoT system, classifying an object in an autonomous driving application, or discovering interesting correlations between variables of patients’ dataset in a health application domain. Machine

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SensorNet: An Educational Neural Network Framework for Low-Power Multimodal Data Classificationifferent case studies, and (6) has a very efficient architecture that makes it suitable to be employed at IoT and wearable devices. A custom low-power hardware architecture is also touched upon for the efficient deployment of SensorNet at embedded real-time systems.

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Applied Machine Learning for Computer Architecture Security Hence, developing effective cybersecurity countermeasures is of prime interest in mitigating such attacks. Furthermore, recent advancements in the area of machine learning and data mining, motivated by a significant increase in the size of data from high-performance computing systems, have resulted

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Applied Machine Learning for Cloud Resource Managementce utilization to achieve cost efficiency. This chapter will discuss how to use Machine Learning (ML) techniques to alleviate the complexity of such tasks. Despite of several advantages of ML-based resource provisioning systems, researchers substantiated that ML brings new security challenges, such

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Setareh Rafatirad,Houman Homayoun,Zhiqian Chen,Sai Manoj Pudukotai Dinakarrao

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Setareh Rafatirad,Houman Homayoun,Zhiqian Chen,Sai Manoj Pudukotai Dinakarrao

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