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Implementations and Applications of Machine Learning (Hardcover, 1st ed. 2020): Saad Subair, Christopher Thron Implementations and Applications of Machine Learning (Hardcover, 1st ed. 2020)
Saad Subair, Christopher Thron
R4,258 Discovery Miles 42 580 Ships in 10 - 15 working days

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming. This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning.

Artificial Intelligence for Data Science in Theory and Practice (Hardcover, 1st ed. 2022): Mohamed Alloghani, Christopher... Artificial Intelligence for Data Science in Theory and Practice (Hardcover, 1st ed. 2022)
Mohamed Alloghani, Christopher Thron, Saad Subair
R3,625 Discovery Miles 36 250 Ships in 12 - 17 working days

This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.

Implementations and Applications of Machine Learning (Paperback, 1st ed. 2020): Saad Subair, Christopher Thron Implementations and Applications of Machine Learning (Paperback, 1st ed. 2020)
Saad Subair, Christopher Thron
R4,228 Discovery Miles 42 280 Ships in 10 - 15 working days

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming. This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning.

Artificial Intelligence for Data Science in Theory and Practice (1st ed. 2022): Mohamed Alloghani, Christopher Thron, Saad... Artificial Intelligence for Data Science in Theory and Practice (1st ed. 2022)
Mohamed Alloghani, Christopher Thron, Saad Subair
R3,979 Discovery Miles 39 790 Ships in 10 - 15 working days

This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.

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