Learn about the different cluster management modes that you can run in your Spark application - standalone, Mesos, Yarn, and Kubernetes - and how to manage them.
Data scientists are responsible for designing and developing accurate, useful, and stable models. This is especially important when it comes to credit risk models.
GPUs can accelerate the training of machine learning models. In this post, explore the setup of a GPU-enabled AWS instance to train a neural network in TensorFlow.
Learn how data is analyzed and boiled down to a single value — a credit score — using statistical, machine learning, and predictive analytics techniques.
Many articles define decision trees, clustering, and linear regression, as well as the differences between them — but they often neglect to discuss where to use them.
As open source code becomes a greater part of the foundation of the tech we use every day, it's important that developers know how to check it for security vulnerabilities.
