Selected Statistical Methods

Detecting Faults, Failures, and Anomalies with Machine Learning

Reinforcement Learning for the Optimization of Particle Accelerators

Introduction to the Stochastic Gradient Method

Selection of effective additives for advanced engineering materials using quantitative structure-activity/property-relationship models

Active and spectral learning in quantum molecular physics

Part I

Introduction to Julia

Part I

Introduction to artificial neural networks: classifying handwritten numbers using Python and Tensorflow/Keras

Part II

Introduction to Julia

Part II

Implementation of neural networks on resource-constrained microcontrollers for sensor applications

Part II

Introduction to artificial neural networks: classifying handwritten numbers using Python and Tensorflow/Keras