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practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data;
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started using Automated Machine Learning for use cases including classification and regression.;
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Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine;
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learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web;
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This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future;
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Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data;
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Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data;
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-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese;
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Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;
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learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new;
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Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies Key;
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learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new;
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for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.;
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for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection;
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automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning;
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which have been developed from new technologies such as machine learning, multimedia and Internet of Things.;
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easier to get started! Machine Learning for Business teaches you how to make your company more automated, productive, and competitive;
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with reinforcement learning, automated ML, and transfer learning Work with image data and build systems for image recognition and biometric;
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class and smart learning at home and which have been developed from new technologies such as machine learning, multimedia and Internet of Things.;
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class and smart learning at home and which have been developed from new technologies such as machine learning, multimedia and Internet of Things.;
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Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.;
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of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17;
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publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.;
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The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze;
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the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered;
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collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes;
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