T Mamatha, A Balaram… - … and Data Science …, 2023 - Wiley Online Library
Data science is an interdisciplinary field that utilizes logical techniques, cycles, calculations and frameworks to separate information and experiences from uproarious, organized and …
The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can …
Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care …
Data Science is a deep study of the massive amount of data, which involves extracting meaningful insights from raw, structured, and unstructured data that is processed using the …
N Sethi - International Journal on Recent and innovation trends … - core.ac.uk
Data science provides an environment to perform the discoveries like extracting a bit of new knowledge and learning from a large amount of data by using the concepts of statistics …
DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding …
V Nnebedum - Int. J. Comput. Appl, 2017 - academia.edu
Data analysis is prominent in data science researches, but by each day data usage is expanding, and in recent times the usage is becoming indispensable and inseparable in all …
Z Yu, Q Han, H Wang, B Guo, X Zhou, X Song, Z Lu - 1997 - Springer
As the chairs of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators 2023 (ICPCSEE 2023, originally ICYCSEE), it is our great …
Data science is an amalgamation of various disciplines of research including the method ranging from empirical methods to current trends of data observation along with the …