Kinetica is a very fast, distributed, columnar, memory-first, GPU-accelerated database with filtering, visualization, and aggregation functionality. Kinetica integrates machine learning models and ...

The DuckDB concept contrasts with the model of data warehousing established over the last 30 years or so. Whether on-prem ...

Data poisoning or model poisoning attacks involve polluting a machine learning model’s training data. Data poisoning is considered an integrity attack because tampering with the training data ...

Cosmic rays, and RUs Let's start with Cosmos DB. Microsoft's geographically ... the general availability (GA) of the Azure Machine Learning service. Mary Jo Foley has covered the GA news.

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 ...

Applying them effectively means selecting the right model (decision tree, nearest neighbor, neural net, support vector machine, ensemble of multiple models) and a learning procedure to fit the ...

Security systems that use machine learning can also identify and classify malware, including new and previously unseen versions of the malware. To detect previously unseen malware, ML models ...