Artificial intelligence (AI) and machine learning (ML) and deep learning (DL) subgroups play important roles in data science. Data science is a complete process that includes preprocessing, analysis, visualization and forecasting allows you to explore AI and its subgroups.
Artificial intelligence (AI) is a branch of computer science that builds intelligent machines that can perform tasks that would normally require human intelligence. You can also get more information about artificial intelligence at https://ulap.net.
AI is mainly divided into three categories as below:
- Artificial Narrow Intelligence (ANI)
- Artificial Common Intelligence (AGI)
- Artificial Super Intelligence (ASI)
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Narrow AI, sometimes referred to as "weak AI", performs tasks in a certain way in the best possible way. For example, the automatic coffee maker was robbed which performed a certain set of actions to prepare the coffee.
Meanwhile AGI, also known as "Strong AI", performs various tasks, including thinking and thinking as a person. Examples are Google Assist, Alexa, Chatbots, which use natural language processing (NPL).
Artificial Super Intelligence (ASI) is an advanced version that fulfills human capabilities. He can engage in creative activities such as art, decision making, and emotional relationships. Now let's look at machine learning (ML).
It is a subset of AI that contains modeling algorithms that can be used to make predictions based on model discovery and complex data sets. Machine learning focuses on enabling algorithms to learn from provided data, gather insights, and predict previously unanalyzed data based on the information collected.