Understanding ML basics

Although AI and ML are often used interchangeably, there is a distinction. AI refers to the simulation of human intelligence in machines or computer systems. It is a multidisciplinary field of computer science and engineering that aims to create intelligent agents or systems capable of perceiving their environment, reasoning, learning from experience, and making decisions to achieve specific goals.

Key components and concepts of AI include:

• ML: ML is a subset of AI that focuses on the development of algorithms and models that allow machines to learn from data and make predictions or decisions without being explicitly programmed. It is a fundamental tool in AI research and applications.
• Neural networks (NNs): NNs are computational models inspired by the human brain’s structure and functioning. Deep learning (DL), a subset of ML, utilizes deep NNs (DNNs) with multiple layers to handle complex tasks such as image and speech recognition.
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