Machine learning vs Human learning

Definition of machine learning

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data.

The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension — as is the case in data mining applications — machine learning uses that data to detect patterns in data and adjust program actions accordingly.

Can we humans do the same?

We are completely convinced that we humans have all the tools, all the technology and all the capacity to perform the same steps like they are described in the definition of machine learning above. We put the mentioned parts from the definition into a simple table and look if we humans have the same available.

But how are we doing so far?

Machine Intelligence


Human Intelligence

Computers Computers
Ability to learn Ability to learn

(but becoming strict limited,
if not enough financial resources provided)

Learning without being explicitly programmed Learning without being explicitly programmed
Focus on development of computer programs Focus on development of technology

(not of the humans)

Ability to adapt when exposed to new data Ability to adapt when exposed to new situations
Data mining Storage, Internet Data mining
Looking for patterns in data Storage, Internet

Experiences, History


Looking for patterns in history
Detect patterns in data

and adjust program actions accordingly

Detect patterns in data

no adjustments of our behaviour
or actions accordingly


What can we learn from this table?

Our advice is, that we start focusing on the development of the humans, eliminate the limits of financial resources and start adjusting our behaviours and actions according to the detected patterns of our history.

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