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 neptune.ai
How to Improve ML Models [Lessons From Ex-Amazon]
| | blog.fastforwardlabs.com
Hyperparameter Tuning and Meta-Interpretability: Track All Your Experiments!
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| | From random forest to neural networks, many modern machine learning algorithms involve a number of parameters that have to be fixed before training the algorithm. These parameters, in contrast to the ones learned by the algorithm during training, are called hyperparameters. The performance of a model on a task given data depends on the specific values of these hyperparameters. Hyperparamter tuning is the process of determining the hyperparameter values that maximize model performance on a task given data.
| | sebastianraschka.com
Predictive modeling, supervised machine learning, and pattern classification
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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | dagshub.com
How To Improve Machine Learning Model Accuracy
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| | Examine how you can improve the overall accuracy of your machine learning models so that they perform well and make reliable predictions.
| | research.google
Accelerating Deep Learning Research with the Tensor2Tensor Library
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| Posted by ?ukasz Kaiser, Senior Research Scientist, Google Brain Team Deep Learning (DL) has enabled the rapid advancement of many useful technolog...