Lab Manual For Cse Cse Ds Aiml Aids Students A Practical Manual
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Lab. Manual for CSE/CSE-DS/ AIML/AIDS students-A Practical Manual
Author: Dr. Rajiv Chopra
language: en
Publisher: Pen and Paper Academy
Release Date: 2025-02-21
Lab Manual for CSE/CSE-DS/AIML/AIDS Students By Dr. Rajiv Chopra This book serves as a comprehensive lab manual for B.Tech students specializing in Computer Science, Data Science, Artificial Intelligence, and Machine Learning. Designed with a practical and experiment-based approach, it bridges the gap between theory and real-world application. Covering essential programming concepts, AI/ML techniques, and hands-on exercises, this manual equips students with the skills needed for modern computing challenges. Ideal for CSE, IT, ECE, and related disciplines, this book encourages students to explore, experiment, and apply their knowledge effectively in labs and projects.
Choosing Chinese Universities
This book unpacks the complex dynamics of Hong Kong students’ choice in pursuing undergraduate education at the universities of Mainland China. Drawing on an empirical study based on interviews with 51 students, this book investigates how macro political/economic factors, institutional influences, parental influence, and students’ personal motivations have shaped students’ eventual choice of university. Building on Perna’s integrated model of college choice and Lee’s push-pull mobility model, this book conceptualizes that students’ border crossing from Hong Kong to Mainland China for higher education is a trans-contextualized negotiated choice under the "One Country, Two Systems" principle. The findings reveal that during the decision-making process, influencing factors have conditioned four archetypes of student choice: Pragmatists, Achievers, Averages, and Underachievers. The book closes by proposing an enhanced integrated model of college choice that encompasses both rational motives and sociological factors, and examines the theoretical significance and practical implications of the qualitative study. With its focus on student choice and experiences of studying in China, this book’s research and policy findings will interest researchers, university administrators, school principals, and teachers.
AI and Machine Learning Paradigms for Health Monitoring System
This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.