Machine Learning: Difference between revisions
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Rule-based systems follows a set of pre-defined rules defined by experts to cover all scenarios to automate the decision making process. This is not sufficient for complex systems. '''Machine learning (ML)''' builds models to identify and predict patterns, make decisions, and automate processes. | Rule-based systems follows a set of pre-defined rules defined by experts to cover all scenarios to automate the decision making process. This is not sufficient for complex systems. '''Machine learning (ML)''' builds models to identify and predict patterns, make decisions, and automate processes. | ||
= Flow = | |||
Unstructured: Images, sentences | |||
'''Unstructured data''' is not understood by machines without some algorithms to process it. '''Structured data''' is machine-readable. | |||
First, ''preprocessing'' (such as data cleaning and sampling) is done to make the data useful. | |||
Then, ''exploratory data analysis (EDA)'' allows us to understand the data and determine what types of algorithm to employ. | |||
[[Category:Computer Science]] | |||
Revision as of 18:38, 1 April 2024
Rule-based systems follows a set of pre-defined rules defined by experts to cover all scenarios to automate the decision making process. This is not sufficient for complex systems. Machine learning (ML) builds models to identify and predict patterns, make decisions, and automate processes.
Flow
Unstructured: Images, sentences
Unstructured data is not understood by machines without some algorithms to process it. Structured data is machine-readable.
First, preprocessing (such as data cleaning and sampling) is done to make the data useful.
Then, exploratory data analysis (EDA) allows us to understand the data and determine what types of algorithm to employ.
