Today I officially started my journey into machine learning through the Machine Learning Specialization by DeepLearning.AI.
At the beginning, I learned the basic idea of machine learning, which is teaching computers to learn from data and make predictions without being explicitly programmed.
I also explored supervised learning, where models learn from labeled data. There are two main types:
- Regression: used to predict numbers (like house prices)
- Classification: used to predict categories (like spam or not spam)
Then I was introduced to linear regression, which is a method used to predict numerical values by fitting a straight line to the data. Although it was a bit confusing at first, I started to understand that the model tries to find the best line that represents the relationship between input and output.
This is just the beginning, and I’m excited to continue learning step by step.
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