5 Machine Learning Techniques to Solve Overfitting | Analytics Steps
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5 Machine Learning Techniques to Solve Overfitting | Analytics Steps
Overfitting is a condition where a model doesn’t perform well on unseen data, techniques like cross validation, regularization, ensemble learning, help to prevent overfitting.
4 août 2021
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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
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36K views · 1.5K reactions | One of just 45 examples built, this 993-based Porsche 911 RSR was delivered new to Zakspeed in 1998, where it saw three seasons of competition before passing to club racer Eberhard Faecke. Finished in Guards Red and now fitted with a replacement M64/75 RSR engine, it remains a compelling candidate for historic racing events. Register to bid at the link in bio. #RMMilan #RMSothebys #Porsche #RSR #Auction | RM Sotheby's | Facebook
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