These are coding assignments and projects for the CS 675 Machine Learning course.
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Updated
Jul 5, 2020 - Python
These are coding assignments and projects for the CS 675 Machine Learning course.
A genetic algorithm for creating personalized quizzes.
Climate pathways using directed chaos
Experiments on Reinforcement Learning with OpenAI Gyms
Environment simulation and adaptive learning algorithm development for a cleaning robot. Using probabilistic models to estimate the environment state during decision-making.
Adaptive Web Semester Project
Adaboost implementation for my artificial intelligence class
This is the official implementations of On adaptive learning paths using hidden Markov models(JKDAS, 2023.04).
Валерия Зелёная
Adaptive Denoising and Alignment Agents for Infrared Imaging
Object-Orientated Derivative-Free Optimisation
OBEBS method
Learn It
Using Facebook Adaptive Experimentation platform to tune random forest regressors using docker
Implementation of Adaptive Hessian-free optimization.
Training static models for binary and multiclass classification problems then using data streamed from kafka server to retrain the model and track its performance.
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