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  1. Home
  2. Space Education
  3. Machine Learning lectures
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Machine Learning lectures

1.Program of ML
2. Machine Learning: Bayesian and Neural Network statistical models

Author: Ashot Chilingarian

3. ANI Applied Nonparametric Inference Reference Manual Version 19.1

Author: Ashot Chilingarian

4. Resourses

5. CRD papers
 1. Application of Multivariate Analysis Techniques to Atmospheric Cherenkov Imaging data from the Crab Nebula.

 Authors: A. A. Chilingarian and M. F. Cawley

2. Neural classification technique for background rejection in high energy physics experiments

 Author: A. A. Chilingarian
3.RECOGNITION OF CORRELATED PATTERNS WITH SPIN GLASS-LIKE MODELS 

Authors: A. A. Chilingarian, N. O. Khudonyan, D. B. Saakyan 
4.Neural net classification of the gamma and pimages registered with atmospheric cherenkov technique, random search learning in feedforward networks

Authors: A. A. Chilingarian

5. Neural Chip SAND in online data processing of extensive air showers

Authors:W. Eppler a,1, T. Fischer a, H. Gemmeke a, A. Chilingarian b,2, A. Vardanyan b

6. Neural classification technique for background rejection in high energy physics experiments

Authors: A. A. Chilingarian1,2


6. Lectures

1. Lecture N1
  
 a. https://archive.ics.uci.edu/ml/datasets/iris

 b. https://archive.ics.uci.edu/ml/index.php

 c. .https://zen.yandex.ru/media/id/5bbcbc1ba5bd5400a990e7d9/izuchaem-neironnye-seti-kak-sozdat-neiroset-za-4shaga-5cda8a1a5631d800b3136f0f

2. Вселенские Ураганы

https://youtu.be/HUGc5wYeJ1g
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