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Lecture material for the Master Course "Geodata Analysis II - Machine Learning and Big Data" at Karlsruhe Institute of Technology (KIT)

Course materials for a free online Python, Math & Machine Learning course. Website — hayktarkhanyan.github.io/python_math_ml_course | YouTube — youtube.com/@MetricAcademy | Telegram — t.me/metric_academy

This is the course website for MATH 373: "Introduction to Machine Learning" at the University of San Francisco. Assignments, lecture notes, and open source code will all be available on this website.

Fall 2023 NJUSE Machine Learning Course -- Group Project: DeepEMD for LibFewShot

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Jupyter notebooks for the Machine Learning course that is held at FEI, VSB-TU Ostrava

同济大学机器学习课程笔记（2023）. Learning Notes on the Machine Learning Course of Tongji University.

Term project completed for Scalable Machine Learning course; implemented k-d trees and ball trees to improve performance of parallel kNN graph construction on large datasets. Implementations in C++, parallelized with OpenMP and Galois.

This repository contains the lecture notes, slides and hands-on notebooks prepared for a semester-long course on "Introduction to machine learning".