AI, Cross Validation, Natural Language Processing and Support Vector Machines

Bias and Variance in Machine Learning

Pickl AI

JULY 26, 2023

Gender Bias in Natural Language Processing (NLP) NLP models can develop biases based on the data they are trained on. Unstable Support Vector Machines (SVM) Support Vector Machines can be prone to high variance if the kernel used is too complex or if the cost parameter is not properly tuned.

Machine Learning

Machine Learning Machine Learning Cross Validation Decision Trees

The Age of Health Informatics: Part 1

Heartbeat

OCTOBER 23, 2023

By analyzing historical data and utilizing predictive machine learning algorithms like BERT, ARIMA, Markov Chain Analysis, Principal Component Analysis, and Support Vector Machine, they can assess the likelihood of adverse events, such as hospital readmissions, and stratify patients based on risk profiles.

Machine Learning

Machine Learning Machine Learning Data Scientist Big Data Analytics

Data Science Current

Bias and Variance in Machine Learning

The Age of Health Informatics: Part 1

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