Computer Science is the oldest and probably the first computational field made from conceptual theories of mathematics,physics and mechanical inventions.Computer Science can be referred as the initial building blocks towards technological advancement of Computers.Whereas Data Science evolved dramatically in the recent history (Approx 30 years) making itself the most demanding and highly paid technical field.Though a subset of CS,it is very helpful in maintaining and processing large modules of data.
TORTURE THE DATA AND IT WILL CONFESS TO ANY THING.
-RONALD COASE(Noble Prize Laureate)
Data Science has a moderate history but here I will mention the important years and their proceedings.At initial,’data logy’ was used as a term for data processing methods in 1960 by Peter Naur. But later on,the whole concept changed and an individual field emerged naming as Data Science in 1996 by Chikio Hayashi at International Federation of Classification Societies (IFCS) conference with title “Data Science, classification, and related methods” marking history as never before!The term was thus coined at the beginning of the 21st Century by William S. Cleveland in 2001.Data Science was then termed as the field that contains an inter relationship between Statistics,Mathematics and Computer Science to analyze and model data.In January 2008,JISC(Joint Information Systems Committee) concluded Data Scientists as the individuals that have a deep knowledge and strong sight on statistical analysis such as Data Mining,Big Data and other data base developments.
The data Science jobs came in market back in 2010 when different government & research sectors needed collaborations to handle Big Data and do inquiries to manipulate data infrastructure by generating analysis reports.The young profession requires a constant improvement in terms of data visualization and analysis across all fields.Behind a posted tweet,your search history and ID scan ,there are numerous algorithms implemented to help you with the most accurate real time results and fastest bundle of data.It would not be wrong if we say that statistical analysis is the most necessary component to implement best versions of Data Manipulation.
Data Science is creating an endlessly growing environment for the industry since it has a great impact on IT.Artificial Intelligence is promoting Data Science via Machine Learning and Deep Learning making Smart & Human friendly inventions .
Have a look at few projects Of AI in different Domains:
- Human Genome Project
- Character(Face) And Voice Recognition(e.g DJI Phantom Drone,Alexa,Siri,Cortana)
- Robotics(e.g:Sophia,Unimate & Atlas)
- Medicine(E.g.EHR systems,An (AI) drug molecule(OCD) will be used in human trials for ML)
- Gaming & Music(e.g:Oculus Rift,Spotify)
- NASA(Hubble Space Telescope,James Web Space Telescope,Solar Dynamics Observatory,Magneto-grams etc)
The new taste of neural networks such as TensorFlow,Keras,Bayesian with data-driven & evolutionary algorithms are convincing to believe that the the time is not far when these inventions will exceed the processing power of human brain!
After reading this blog, we can understand why AI means the future.I’ll come with some more interesting facts and inspirational personalities.Until then stay connected!
Have a Good Day 🙂
Source:Google,forbes.com & Wikipedia
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