BOOKS - PROGRAMMING - Machine Learning Theory to Applications
US $8.72
889843
889843
Machine Learning Theory to Applications
Author: Seyedeh Leili Mirtaheri, Reza Shahbazian
Year: 2022
Number of pages: 212
Format: PDF
File size: 10 MB
Language: ENG
Year: 2022
Number of pages: 212
Format: PDF
File size: 10 MB
Language: ENG
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.