Artificial Intelligence (AI) is a trending field today with millions of people’s eyes on it. It is changing how we use technology. Basically, AI is all about teaching computers to think and make decisions like we do. But how do computers learn to think?
In this article, we will look at how AI learns from data and makes decisions.
How AI learns from data
Machine learning is the core of AI. It lets computers learn from data without being told what to do. This means that instead of a human programmer giving the computer instructions, the computer can learn on its own by looking at data and finding patterns.
Putting machine learning into work with an example
Imagine we want to create an AI system that can recommend movies to users on a streaming platform. To make that happen, we should feed the system lots of data about users’ movie preferences. We would need to give information such as what movies users have watched in the past, how they rated those movies, and what other movies they have searched for or added to their watchlist.
What the AI system would do next is interesting. It would then take a look at this data and search for patterns. For example, it might find that users who liked a certain movie also usually liked other movies in the same genre or with similar themes. The system could then use this information to suggest movies to users based on what they have watched and liked.
Machines are making decisions like humans.
AI also learns by copying how humans make decisions. AI uses a type of machine learning called deep learning to do this. What is deep learning? It is like giving a computer brain a lot of information to learn from. This computer brain has layers of connected parts and uses the information to make decisions based on what it has learned. It is similar to how we learn from our experiences and use that knowledge to make choices.
Putting deep learning into work with an example
Let us say we want to make an AI system to tell us what the weather will be like. We would need to give the program much information about past weather, like temperature, humidity, wind speed, and more.
The program then uses deep learning to look at this information and predict future weather. For example, it might be seen that it usually rains when the temperature and humidity are at certain levels. The program could then use this information to predict better when it will rain.
Applications of AI in our day-to-day life
Today, we use AI in many areas of our lives. Here are a few examples of how AI learns from data and makes decisions like humans.
Product recommendations
Online shopping websites use AI to look at customers’ browsing and purchase history to suggest other products they might like. For example, if a customer often buys mystery books, the website might suggest other mystery books or authors that the customer might enjoy.
Movie recommendations on streaming platforms
As mentioned earlier, these platforms use machine learning algorithms to analyze what movies users have watched and liked before and then suggest other movies they might enjoy.
Fraud detection
Banks and credit card companies today use AI to keep an eye on customers’ accounts and spot any suspicious activity. The AI system looks at the patterns of transactions and raises a red flag if it sees anything unusual, like big purchases in a foreign country or lots of purchases quickly.
Speech recognition
Voice assistants like Siri and Alexa use AI to understand what we say when talking to them. The AI system looks at our speech patterns and learns to recognize our voice and the words we use. This way, the voice assistant understands and responds to our requests.
Weather prediction
As mentioned earlier, AI systems can use deep learning to look at past weather patterns and better predict future weather conditions.
Conclusion
AI is a fascinating and powerful technology. It can help us solve many problems and improve our daily lives. It uses machine learning methods to learn from data and make decisions or recommendations like humans. In this article, we learned how AI works and how it helps us in various fields of life.