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In-depth categorization of ML and DL algorithms

What is AI?

Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks traditionally requiring human intelligence. These tasks encompass understanding natural language, discerning patterns in data, learning from experience, and decision-making. AI systems strive to emulate human cognitive abilities like reasoning, problem-solving, perception, and learning.


Machine Learning (ML) is a specialized branch of AI focused on crafting algorithms and statistical models enabling computers to execute tasks without explicit programming. ML algorithms learn from data and make predictions or decisions autonomously.


Deep Learning, a subset of machine learning, employs neural networks with multiple layers (deep neural networks) to extract insights from vast datasets. It has demonstrated remarkable prowess in domains such as image recognition, natural language processing, and speech recognition.

For a deeper understanding of the different classifications of ML and DL algorithms, simply follow the link provided below.

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