Is Data Science A Future?? Or A Threat?

Hello Steemians,
Greetings,

It's been a long time, I mean very long time...that I have been away from steemit. It has been very hard for me to keep up with my busy schedule. After all, I am a student :)

It is not enough to be busy. So are the ants. The question is: What are we busy about?
~ Henry David Thoreau

Let's come to the topic. What exactly is a data science?

here's what wikipedia says?

Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.

let's make it easy to understand!!

Data science...ah, it's something that involves analyzing and interpreting data. Okay, what do I mean by that? It's a process of finding insights between the data. It incorporates areas like mathematics, statistics and computer science to perform techniques like data analysis, data visualization, cluster analysis, data mining, machine learning, etc

image source

Okay, Okaii...Data Science is Something That Involves Analyzing And Interpreting Data. Let's Explain Some More...like examples, and applications per say !

Applications of Data Science:

internet search

digital advertisement

recommeder system

image recognition

speech recognition

gaming

price comparison websites

airline route planning

fraud and risk detection

delivery logistics , and many more

Some of the Tools of Data Science:

linear algebra

calculus

statistics

analytical geometry

non-linear system

programming language like python, R

software like spss, Excel

and many more

Some Data Science Jobs Listing:

data scientist

data analyst

data engineers

data architedt

statistician

database administrator

business analyst

and many more

looks like data science is everywhere, looks like it's the future of business, marketing, statistics and many more...how come it be a threat?

Data Science, it's not about interpretation but prediction.
You interpret and analyze data so that you can gain meaningful insights and predict some meaningful outcomes. You make some very good prediction model, and use them as a template to use them effectively. And, there are already much appreciative predictive model out there which you can never imagine.

What do you feel if anyone can predict your death someday? .... aww, just kidding !!

When it comes to the future, everything is a probability!!

Here are some predictive models that are already performing really well:

stock price prediction

can predict a stock price at the following day. uses lstm.

next word prediction

can predict the next word in a sentence. uses lstm.

caption generator

can predict or generate a readable caption for the given image. uses cnn, lstm, etc

statistical prediction

can predict some basic statistics like whether or not the credit card transaction was fraud, whether or not the email was spam, whether or not certain bank employee will leave the bank, whether or not you will die!! (LOL). Uses some basic machine learning algorithms. If the parameters are appropriate and accurate, the prediction can be as good as 95% or even 99% !!

(off course these includes some higher topics like machine learning, deep learning, AI, etc....data science is the foundation)

Do You Know?

that facebook messenger can predict what are you going to reply ...from what called a "M suggestions"
that youtube, netflix can predict what movies you are going to like the most...from what called a "recommendation"
that google, facebook has a huge chunks of data which can be used for some serious data analysis

What do you think?? do you think that this is the future or a threat??

do you believe in "transparency" or "under the hood"?

ps: I personally believe that data science has a great future. but, the data that is used for analytics should be transparent. NO MATTER WHAT, privacy should always be maintained!!

everything stated in this blog is only a personal opinion and is not intended to hurt anyone's feelings or opinion

Yours,
Aashish Kandel

Namaste, bless you!