Tag Collection

#generalization

Explore Books, Authors and Common Highlights on Generalization

Showing 7 of 7 highlights

The goal of machine learning is to generalize from the training data to unseen data.

From The Hundred-Page Machine Learning Book by Andriy Burkov

#data-science #generalization #analysis #learning

Learning is a process of generalization.

From The Master Algorithm by Pedro Domingos

#learning #education #process #generalization

Overfitting occurs when a model learns the training data too well, including noise and outliers, leading to poor generalization.

From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

#statistics #overfitting #generalization #model-evaluation

Cross-validation is a technique for assessing how the results of a statistical analysis will generalize to an independent data set.

From The Hundred-Page Machine Learning Book by Andriy Burkov

#validation #statistics #analysis #generalization

The power of machine learning lies in its ability to generalize.

From The Master Algorithm by Pedro Domingos

#machine-learning #generalization #power #potential

A good model is one that generalizes well to unseen data.

From The Hundred-Page Machine Learning Book by Andriy Burkov

#modeling #generalization #data #evaluation

Regularization techniques are essential to prevent overfitting and ensure generalization to new data.

From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

#regularization #techniques #overfitting #generalization #data