Gazelle Information Technologies

Is Artificial intelligence an extension of statics

AI is a zone that is changing quickly and has gotten a lot of attention in recent years. AI includes a lot of different techniques and technologies, but one could argue that at its core AI is really just an extension of statistics. At first glance this claim may seem strange, but when you look into it more you’ll see how closely these two fields are related.

As a part of mathematics statistics is about collecting, analysing, interpreting, and presenting data. It gives you the tools you need to make choices and draw conclusions from data that make sense. AI, on the other hand, is about making agents and systems that are smart enough to understand their surroundings learn from data, and make choices or predictions. Even though AI and numbers seem to be very different, they are based on the same basic ideas.

AI has made progress because there are so many samples to learn from. Statistical methods are needed for data preprocessing, data cleaning, and feature selection. This makes sure that the data fed into AI models is of high quality and relevant. Without these statistical roots it would be hard for AI systems to make sense of all the data.

Also, AI’s goal of making models work better is in line with statistical rules for trying hypotheses and judging models. Cross-validation, hypothesis testing and p-values are all statistical tools that are often used to judge how reliable and strong AI models are.

Conclusion 

A lot of statistical ideas, methods, and principles are used in AI so it can be thought of as an expansion of statistics. AI includes a wider range of technologies and uses but its growth and use are all based on statistics. Understanding the relationship between artificial intelligence (AI) and statistics is important for practitioners and students in both fields, as it makes it easier to share ideas and encourages innovation at the intersection of these two fields. Statistics are a constant in the constantly changing world of AI. They help AI systems make sense of the world’s facts and make smart decisions.