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No R package for the API you want? It’s easy to write your own function with the httr and jsonlite packages.
Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always
The Qubole Data Platform brings streamlined configuration, auto-scaling, cost management, and performance optimizations to Spark-as-a-service
IBM has released Python toolkits for identifying and mitigating against bias in training data and machine learning models
If you actually need a deep learning model, PyTorch and TensorFlow are the two leading options
If you actually need a deep learning model, PyTorch and TensorFlow are both good choices
Giving systems enabled with machine learning to the cloud operations team to manage is not only a mistake, it’s dangerous
Splunk may be the most famous way to make sense of mass quantities of log data, but it is far from the only player around
AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models
5 in-memory computing platform capabilities that support analytical processing of both data lake data and operational streams