Machine Learning
Machine Learning is A subset of AI focused on systems that learn from data.
Machine Learning and Data Science
Projects involving predictive modeling, ML pipelines, feature engineering, and data-driven decision systems.
Machine Learning is A subset of AI focused on systems that learn from data.
Python is a programming language for automation, data, and backend systems.
Compute systems are optimized for executing trained models efficiently at scale.
Algorithm Optimization is the practice of improving computational efficiency, performance, and scalability of algorithms.
Amazon SageMaker is a platform for building, training, and deploying machine learning models.
Artificial Intelligence is the development of systems that perform tasks requiring human-like intelligence, such as reasoning and learning.
Data Science is the interdisciplinary field of extracting knowledge and insights from data.
Built predictive audience demographic datasets using graph databases and AI/ML. Trained models to predict demographic attributes of mobile device audiences...
Designed a novel IP geolocation confidence model combining location observation data with network topography analysis to improve the accuracy of geographic...
Processes transform raw data into structured inputs that are better suited for learning and inference.