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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?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
What is the main purpose of the LSTM (Long Short-Term Memory) model in machine learning?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.3
Strong AI, also known as general AI, aims at creating smart machines that are indistinguishable from the human brain.