- AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
- Android in the Wild: A Large-Scale Dataset for Android Device Control
- How to deploy interpretable models on Google Cloud Platform
- How to quickly solve machine learning forecasting problems using Pandas and BigQuery
- How to train Boosted Trees models in TensorFlow
- Reinforcement Learning on Google Cloud
- How to normalize features in TensorFlow
- Logistic Regression from scratch (and how to make it nonlinear)
- How to train Machine Learning models in the cloud using Cloud ML Engine
- Batch Normalization with TensorFlow and tf.keras to train deep neural networks faster
- Automated Machine Learning: Deploying AutoML to the Cloud
- sql_magic: Jupyter Magic for Apache Spark and SQL databases
- Pivotal Insights Podcast: Data Science and Sports
- How Curry Ball Will Impact March Madness Brackets.
- Using Apache Spark to Analyze the NBA.
- How To: Scaling a Machine Learning Model Using Pivotal Cloud Foundry.
- Data Science How-To: Text Analytics-as-a-Service.
- Data Science-Powered Apps for the Internet of Things
- Scoring-as-a-Service To Operationalize Algorithms For Real-time.
- Speech recognition using dynamic time warping.
