Data science and Information War
Data is behaving like it's living and breathing. Data is always growing and at the end of the day, Data comes from people. So we can say, ' Data is people '.
Just 50-60 years ago, machine learning was a story of science-fiction genre, as most websites say. Today machine learning algorithms can drive your car. Data science itself is a newly coined terminology. A fancy name given to the individuals whose job profile is to work with data. Data Analyst and Data Engineers are coined to level the job post.
Who knew that raw data when processed by a skilled data scientist would win you anything you want. You can influence people, advertise to the target customers, predict election results, predict different events, forecast weather and what not. All you have to do is, just think about the area in which you want to apply data science. Probability and statistics was never this useful to the mankind.
You have the world under your finger tips but everything that you do is being recorded and stored in databases of companies that serve you. Data Scientists have empowered non-living machines to decide what you want, what you like, your ideologies, food preferences and political parties that you are inclined to. Your 30 video likes on Facebook can reveal a lot of information about the kind of person you are, that even your friends never knew.
Doing all these tasks must involve extensive coding ? People must not be removing their finger-tips from keyboard? Python has different pre-built packages and module to do data-science-operations. Analysts use these packages to filter the raw data to meaningful information. Mathematical models help machines to predict, Exploratory Data Analysis is used to visualise, analyze and summarise the information. Different linear features are studied to find maximum dependency of data to make predictions. Tools such as MS excel and Tableu can have huge impact to draw inference about the given data sets.
It's a game of common sense as well, not everything can be done by machines and algorithm. If you provide any feature to an algorithm, it will find any abrupt relation with the data and give undesired information, this is where human intellect beats machine learning algorithms.
Stock market trading is extensively using Data science, algorithms are built by some of the finest coders that invest and withdraw money in mili-seconds. The algorithm notices minuet changes in bar-graph and operates automatically. So people who think they are getting better in stock market and can be the Warren Buffet of this era, they don't really know about the bigger fishes of the ocean.
Currently we are working with Weak AI, developing General AI and the future will involve Strong AI that will defeat human intelligence.
The topics that we left as students in our high schools have now created the Sexiest-job in the IT industry. Which topics do you repent missing ??
'. freshersvoice datascience dataanalyst dataanalytics dataanalysis IBM google freshers
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