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See how to use data.table's special .SD symbol to perform calculations and other tasks by group
Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key
TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models.
Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment
Platforms like AWS Lake Formation and Delta Lake point toward a central hub for decision support and AI-driven decision automation
See how to generate weekly and monthly reports in R including month-over-month, week-over-week, and year-over-year changes.
Look to these powerful MySQL and MariaDB features to boost your modern apps
Train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi data set.
A dataops team will help you get the most out of your data. Here’s how people, processes, technology, and culture bring it all together
See how to send text messages and files directly from an R script to Slack with the slackr package