Introduction
Most of the research and algorithms in data science have resulted from decades of work by statisticians, mathematicians, and scientists.
Data availability has increased the usage of digital devices and services, and the rise in usage of sensors technology and connected objects has led to the generation of more and more data. Moreover, cheaper storage is available to collect and store the data.
High computing power has become available at a low cost to process big datasets and use these complex algorithms.
Everyday Applications
Biometrics
Such as face and fingerprint recognition, for unlocking phones using our faces or fingers.
Ride Matching
Matching drivers and commuters to simplify booking rides using taxi or other ride apps.
Recommendations
Recommendations for watching videos and shopping on e-commerce websites.
Targeting
Targeting, such as product advertisements based on search engine history.