Model-selection tests are used to determine which of the two trained machine learning models performs better. The point of model […]
Spark and Cassandra For Machine Learning: Model Selection Tests Read More »
Cross-validation is a collection of methods for repeated training and testing of our machine learning models. We do it in
Spark and Cassandra For Machine Learning: Cross-Validation Read More »
In case you missed Cassandra Lunch #14, we discussed methods for finding and diagnosing issues in Cassandra clusters. Starting off
Apache Cassandra Lunch #14: Basic Log Diagnostics with ELK/FEK/BEK Read More »
In case you missed Cassandra Lunch #13, we discussed a number of different open-source projects and platforms that can help
Apache Cassandra Lunch #13: Jump Start Projects for Cassandra Read More »
Testing is how we guess at the efficacy of our machine learning models out in the real world. The basics
Spark and Cassandra for Machine Learning: Testing Read More »
Machine learning is increasingly becoming a part of companies’ business platforms. In order to make full use of machine learning
Spark and Cassandra For Machine Learning: Data Pre-processing Read More »
