- By Dr. Raul V. Rodriguez
The terms Machine Learning and Deep Learning will be often put in the same basket, but what are they and what is their role? To understand these aspects, the first step is their positioning within the larger umbrella of AI (AGI).
To address the limitations, characteristics and differences of these fields, it is necessary to know what an algorithm is since it is the raw material of artificial intelligence, and therefore machine learning and deep learning.
What is an algorithm?
An algorithm is a set of instructions that solve a problem. These instructions have to be finite, ordered and logical, in other words, they cannot be an infinite number of instructions. They are sequences and must be unambiguous.
When designing an algorithm that meets these characteristics, it is possible to program it on a computer, which can follow instructions and solve a given problem. A good analogy is a cooking recipe, since it complies with a set of finite instructions, a sequence an
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Dr. Raul V. Rodriguez
Dean at Woxsen School of Business. He is a registered expert in Artificial intelligence, Intelligent Systems, Multi-agent Systems at the European Commission, and has been nominated for the Forbes 30 Under 30 Europe 2020 list.
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