What is data representation in machine learning?
An example of an AI chatbot conversation about data representation in machine learning.
What is data representation in machine learning?
Data representation in machine learning refers to how data is formatted and structured for algorithms to process.
Why is it important for machine learning models?
It's crucial because the way data is represented can significantly affect the model's performance and accuracy.
Can you give examples of different data representations?
Sure! Examples include numerical, categorical, text, and image representations, each suited for different types of data.
How does data representation impact model training?
It impacts model training by influencing how well the model can learn patterns and make predictions based on the data.
What are some common techniques for data representation?
Common techniques include one-hot encoding, normalization, and feature extraction, which help in transforming raw data.
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