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What Is Inductive Bias In Machine Learning? » EML

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What Is Inductive Bias In Machine Learning? » EML

As I'm sure you know, Machine learning is the process by which a computer system can learn from past events to recognize patterns to predict the future.

Main Challenges in Machine Learning: 1. Insufficient or Poor-Quality Data Lack of labeled data for supervised learning. Noisy, incomplete, or biased data can lead to poor models. 2. Overfitting and Underfitting Overfitting: Model performs well on training data but poorly on new data. Underfitting: Model is too simple to capture the underlying pattern. 3. High Computational Cost Training complex models (e.g., deep learning) requires powerful hardware and GPUs. 4. Scalability Models trained on sma

Main Challenges in Machine Learning: 1. Insufficient or Poor-Quality Data Lack of

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