Machine Learning
Machine Learning is A subset of AI focused on systems that learn from data.
AI inference systems
Compute systems are optimized for executing trained models efficiently at scale.
Artificial Intelligence
Artificial Intelligence is the development of systems that perform tasks requiring human-like intelligence, such as reasoning and learning.
Data Science
Data Science is the interdisciplinary field of extracting knowledge and insights from data.
Machine learning systems
Pipelines train models on data to produce predictive or generative outputs and improve performance through iteration.
Feature engineering systems
Processes transform raw data into structured inputs that are better suited for learning and inference.
Machine Learning Pipeline for Automated Ad Pricing
Before TensorFlow existed, built a continuously-learning SQL-based machine learning system that optimized real-time bid pricing for programmatic advertising —...
Model serving systems
Infrastructure deploys trained models for real-time or batch inference under latency and scaling constraints.
Neural Networks
Neural Networks is a computational models inspired by biological neural systems.
Python
Python is a programming language for automation, data, and backend systems.