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Artificial Intelligence (AI) has become a topic of interest these days. If you're wondering how is AI made, it's important to know that AI isn't created by magic, but through scientific methods and technical computer science.
The process of creating AI is divided into several steps. First, data collection is performed—collecting a large amount of data, such as images, text, or voice data. Next, data pre-processing is performed to remove any anomalies or unwanted parts from the data. In the third step, computers are taught patterns from this data using machine learning algorithms (such as neural networks, deep learning, etc.). Programming languages and frameworks such as Python, Tensorflow, and Keras are used throughout this process.
Once the model is trained, it is tested on real-world datasets. This determines the AI's performance. AI can be further personalized to suit user needs, such as chatbots, image recognition, or translation. Techniques such as supervised, unsupervised, and reinforcement learning are used to train AI.
If you want to build your own AI, start by learning the basics of Python and open source libraries (like Scikit-learn or TensorFlow). There are plenty of free courses available on YouTube to get you started. Be patient and practice by building small projects—you'll eventually realize that building artificial intelligence isn't difficult, but rather fun!
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