Data Science And Structural Analysis
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DATA SCIENCE AND STRUCTURAL ANALYSIS
Author: Dr. Raja Sarath Kumar Boddu
language: en
Publisher: Xoffencerpublication
Release Date:
Computers have become an integral part of our daily life in recent times. They have enormously impacted our personal, professional, as well as social lives. Considering the increasing demand of computers in society, schools, colleges, and universities have included computer education in their curriculum, to help students become skilled in programming and developing applications which can be used to solve various business, scientific, and social problems. This study focuses on a specific kind of research known as structured data analysis. This book is all about models and hypotheses, whether they are large or little, backed by evidence or not. Making educated business choices based on solid theory and empirical evidence is of the utmost importance. The theory and application of data analytics are both covered in this book. A skilled data scientist will have little trouble working with massive datasets, either from the technical standpoint of databases or by developing algorithms to extract the most value from the data. The analytics project team may flaunt their hard work and other groups can put the models to use in production with the help of the code and technical documentation that was produced as part of the project deliverables. Here we see how simple visuals may greatly enhance the effectiveness of a presentation or data visualization. After some time had passed, however, a sizable quantity of information about Covid-19 individuals' symptoms, severe medical issues, hospitalizations, etc. was made public. This data was used to develop an algorithm that forecasts how severely unwell individuals with the Covid-19 mutation would be and how likely they are to live.
Data Science for Civil Engineering
This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation. Features: Details information on essential mathematics required to implement civil engineering applications using data science techniques. Discusses broad background of data science and its fundamentals. Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering. Includes python programming libraries to solve complex problems. Addresses various real-world applications of data science based civil engineering use cases. This book aims at senior undergraduate students in Civil Engineering and Applied Data Science.
Data Science and Analytics
This book constitutes the refereed proceedings of the 4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017, held in Gurgaon, India, in October 2017. The 66 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web analytics, security in data science analytics.