Singh K. Advanced Computer Science Applications. Recent Trends in...2023 torrent

Textbook in PDF format

This new book brings together the most recent trends related to AI, Machine Learning, and network security. Advanced Computer Science Applications: Recent Trends in AI, Machine Learning, and Network Security consist of three parts. The first part focuses on Machine Learning algorithms in security analytics, which discusses the creation and training of supervised machine learning models for prediction and binary categorization tasks, including logistic regression and linear regression. In this, the reader will learn the fundamentals of Machine Learning. This part also explains how to apply these methods to create prac­ tical security applications. It offers a comprehensive introduction to contem­porary Machine Learning and security analytics, covering green computing concepts, quality of software ecosystems based on transactions, survey on static images and videos, UAV-enabled disaster management, application layer concepts, and deployment techniques in IoT.
The reader may learn the key ideas by the conclusion of this specializa­ tion and acquire the practical skills necessary to apply Machine Learning and security applications quickly and effectively to difficult real-world problems. For the new Machine Learning specialization, it is best to start with security applications to break into a security career or develop a related career in the same field.
The second part of the book focuses on AI and Machine Mearning, which will aid in understanding of artificial intelligence by combining theory and experience with Machine Mearning. The reader will learn about pattern recognition, classification using web usage mining, AI-assisted applications, various Machine Mearning algorithms applied on different applications, etc.
The third part of our book covers network security applications. The digital sphere now encompasses a vast majority of our existence. We use the internet to conduct business, stay in touch with loved ones and colleagues, make purchases, find entertainment, and conduct study. Birth dates, Social Security (or other identification) numbers, health histories, credit histories, bank accounts, utility bills, and a variety of other details are just a few exam­ ples of the confidential data we keep online. Hackers and cybercriminals could access all of that information and then conduct all of those transac­ tions. The danger of compromise increases as we devote more of our lives to the internet. Additionally, the Internet of Things (IoT) will continue to be important, which means that wireless networks will be used more frequently.
This book is a comprehensive take on recent applications and advancement in the field of Computer Science and will be of value to scientists, researchers, faculty, and students involved in research in the area of AI, Machine Learning, and network security