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Identifying a problem and having a vision to solve it!
Collecting The Data
Data exploration is an approach to understand the characteristics of a dataset using visual exploration rather than traditional data management systems.
An AI model is a software program that has been trained on a set of data to perform specific tasks like recognizing certain patterns.
The machine learns by itself
These AI models are developed with the help of unsupervised machine learning
These AI models are built using supervised machine learning
The semi-supervised machine learning models act as a middle ground between supervised and unsupervised machine learning
Rule-based machine learning approaches include learning classifier systems, association rule learning, artificial immune systems, and any other method that relies on a set of rules, each covering contextual knowledge
Ex:An expert system might help a doctor choose the correct diagnosis based on a cluster of symptoms, or select tactical moves to play a game
AI evaluation focuses on checking whether machines do their tasks well, which has led to an important anomaly of AI.
1)Boosting The Reasearch Area
2)Identifying The Areas Which Can Be Replicated
3)Identifying The Areas Of Deficiency Which Can Become The Areas For Future Research
4)Gathering Knowledge For Accumulation