Winter is coming, once it’s here, each of us will make decisions based on information. For example, you may ask yourself if you should wear a jacket or not while going out.
This decision to wear a jacket or not is based on information such as:
- What is the weather?
- Is it sunny or not?
- What time am I going out?
- Is it in the morning, afternoon, or evening?
- What might be the temperature outside?
The information that you have can be illustrated in the below table.
|ID||CoverUp||Weather||Time||Time of day||Temperature|
|1||Jacket||Sunny||6:00 am||Morning||9.65 deg|
|2||No jacket||Not sunny||5:45 pm||Evening||18.0 deg|
|3||No jacket||Sunny||12:15 pm||afternoon||22.5 deg|
|4||Jacket||Not sunny||9:56 pm||Evening||2.73 deg|
You process these variables and then make a decision. Models make decisions from data.
So you are a walking model. We are all walking models.
This data is related to just one decision. So imagine if we were to collect all the data for all the decisions you make in a day. It is opinioned that 2.5 quintillion (18 zeros) bytes of data generated every day. We may run out of space to store it!
In the same way in businesses, academia, industry, and other aspects of life, there is a lot of data generated and decisions have to be made on the fly. To use data to make decisions, we have mine that data.
Learn Data Mining in the next step.