Ways to detect a poisoned machine learning dataset The good news is that organizations can take several measures to secure training data, verify dataset integrity and monitor for anomalies to ...

Many machine learning problems fall into one of three categories: tabular data prediction (such as the Iris species problem), natural language processing (such as the IMDB movie review sentiment ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it ...