: Theory to applications Seyedeh Leili Mirtaheri creator Reza,Shahbazian text Boca Raton CRC Press 2025 monographic eng Eng lis h

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201 p. PB 23x15 cm. Table of Contents The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of ML by providing technical and practical insights. It does not use complicated mathematics to explain how to benefit from ML algorithms. Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios. It starts with the basic concepts of ML and extends the concepts to the different deep learning algorithms. The book provides an introduction and main elements of evaluation tools with Python and walks you through the recent applications of ML in self-driving cars, cognitive decision making, communication networks, security, and signal processing. The concept of generative networks is also presented and focuses on GANs as a tool to improve the performance of existing algorithms. 006.31 MIRM 9781032939360 251030 20251030161617.0