Let's break down all of Azure's PaaS offerings and see how they fit into the average developer's workflow so you can make informed decisions about your tooling.
Learn how to connect to an ODBC Driver from Google Apps Script and configure the SQL Broker, and get sample scripting for processing the data in a Google Spreadsheet.
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.
CORE
