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What are the different learning methods used for machine learning ?
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Fuzzy logic is a method of reasoning used in AI that aims at reproducing human reasoning. The outcome is the opposite of the boolean outcome (binary) . It can be any value between 0 and 1 (true and false). For example, the outcome can be possibly yes (0.7), not sure (0,6) , possibly no (0,4), or certainly no (0,18)...4
Which code language is the most used to implement AI?3
Strong AI, also known as general AI, aims at creating smart machines that are indistinguishable from the human brain.3
What is the main purpose of the LSTM (Long Short-Term Memory) model in machine learning?1
Weak AI is one of the 2 AI categories: weak, strong. Also known as narrow AI, weak AI are made to perform on some specific tasks.3
Supervised learning is a type of machine learning that uses labeled data to train a model.3
A model hyper-parameter is a configuration which is **external to the model**. It defines the model’s structure.