Data Sciences
Artificial Intelligence is a technology which completely depends on data.
It is the data which is fed into the machine which makes it intelligent.
And depending upon the type of data,
AI can be classified into three broad domains:
Data Sciences: Working around numeric and alpha numeric data.
Computer Vision: Working around image and visual data.
Natural Language Processing: Working around textual and speech based data.
Each domain has its own type of data which gets fed into the machine and hence has its own way of working around it.
In Data Sciences, it is unify statistics, data analysis, machine learning and their related methods in order to understand and analyse actual phenomena with data.
It employs techniques and theories drawn from many fields within the context of
Mathematics,
Statistics,
Computer Science, and
Information Science.
Applications of Data Sciences:
Data Science is not a new field. Data Sciences majorly work around analysing the data and
when it comes to AI, the analysis helps in making the machine intelligent enough to perform tasks by itself.
There exist various applications of Data Science in today’s world.
Some of them are:
Fraud and Risk Detection
Genetics & Genomics
Internet Search
Targeted Advertising
Website Recommendations
Airline Route Planning