Introduction of Machine Learning

 

Machine learning :

•        Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to "learn” with data, without being explicitly/traditional programmed.

•      Machine learning is technology which enables computers to learn automatically from past data and building model and predict output for future value.

•        In simple word machine learning is all about learning from data

Explicitly / Traditional Programming:

 

Traditional (Explicit / Conventional) Programming

·        Explicitly / traditionally programmed means writing a separate program or logic for every possible scenario.

·        The programmer manually defines rules and conditions.

·        Flow:

o   Logic (Program) + Data → Output

o   The computer only follows the instructions written by the programmer.

o   If a new scenario occurs, the program must be modified.

Example : Fan Control

·        If temperature > 30 → Turn ON fan

·        If temperature ≤ 30 → Turn OFF fan

Machine Learning

·        In machine learning, we do not write logic manually.

·        Instead, we provide:

o   Data (inputs + outputs)

o   Machine learning algorithm

·        The algorithm analyzes the data, identifies patterns, and automatically creates logic.

·        Flow:

o   Data + Algorithm → Model (Learned Logic)

o   New Data → Output

·        Once trained, the model can handle new and unseen scenarios.

Example : Fan Control

·        Provide past temperature data along with fan ON/OFF status

·        The model learns when to turn the fan ON or OFF automatically

 

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