Pytorch, Docker, Python, CNN Architecture Basics, Active Learning Awareness, Model Evaluation, MLflow, Surrogate Modeling Concepts

Machine Learning, Functional Analysis, MATLAB, Python, quantum reservoir computing, statistical learning theory, kernel RKHS methods, dynamical systems, Julia, open quantum systems, quantum stochastic processes, quantum control, operator theory

Pytorch, Python, Sql, GAT, PyTorch Geometric, DGL, Graph Learning, Graph Deep Learning, RGAT

Sql, Hive, Pytorch, Spark, Python, Knowledge Graph Completion, Neighborhood Aggregation, Multi-Task Learning, Distributed Training, GraphSAGE, Graph Construction, DGL, PyTorch Geometric, Heterogeneous Graph Modeling, Attention Mechanisms, Graph Self-Supervised Learning, Link Prediction, GCN, Node Classification, Graph Representation Learning, GPU Training, Message Passing, Graph Deep Learning

Jax, Pytorch, Python, GPU-based training and inference system

Tensorflow, Version Control, Hive, Pytorch, Spark, Python, a/b testing, Feature engineering, Statistical significance, Machine learning concepts, supervised learning, Cloud ML platforms, Model evaluation

Cloud Infrastructure, Jax, Pytorch, Distributed Systems, Python, GPU infrastructure, Vector databases, Performance tooling, Retrieval infrastructure, Workflow orchestration, ML data pipelines

Tensorflow, Numpy, Machine Learning, Pandas, Pytorch, Python, Scikit-learn

Jax, Pytorch, Python, GPU-based production ML systems