Contemporary applications of big data in science

Contemporary applications of big data in science   

Data science is used for a wide range of applications, including predictive analytics, machine learning, data visualization, fraud detection,recommendation systems and decision making in various industries like healthcare, finance, marketing, and technology.

some examples: 

Healthcare could have a significant effect on wellness, enhancing diagnostics and tailoring treatment strategies. Predictive research helps doctors and nurses to concentrate on optimal quality and patient treatment, providing a strategic system to tackle medical concerns before they get ill.

Improving sports performances the use of videos to track players performance during games, sensors in the sports equipment to allow feedback via smartphones and cloud servers. 

Data science is the study of data to extract meaningful insights for from businesses to science labs .It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.