PhD study notes (2020-2023): statistics and ML foundations for tissue classification research

Statistics and ML framework:

These notes are the basis for our published tissue classification methodologies:

Rodríguez, C., et al., Biomed. Opt. Express 12, 4852-4872, (2021)

Rodríguez, C., et al., J. Biophotonics 16(4), (2023)

Advanced multivariate statistics implementation (PhD_II Statistics with SPSS.pdf)
- Comprehensive SPSS (IBM) workflow for our use case (biological tissue data analysis)
- Factor analysis and PCA methodologies used in:
  
  Rodríguez, C., et al., Polarimetric data-based model for tissue recognition, Biomed. Opt. Express 12, 4852-4872, (2021)

Statistical and Machine Learning Theory (PhD_V Statistics and ML.pdf):
- Study notes based on:
  
  Osborne, J. W. Best Practices in Exploratory Factor Analysis
  
  A high-bias, low-variance introduction to ML for physicists
Mueller matrix, polarimetry foundations: PhD_I Mueller Matrix algebra and decompositions.pdf:
- Study notes based on:
  
  J. J. Gil and R. Ossikovski, Polarized light and the Mueller matrix approach

Name		Name	Last commit message	Last commit date
Latest commit History 46 Commits
(1) Neural Networks - Basics.ipynb		(1) Neural Networks - Basics.ipynb
(2) Neural Networks - Supervised and Unsupervised.ipynb		(2) Neural Networks - Supervised and Unsupervised.ipynb
(3) Neural Networks - Dimension reduction.ipynb		(3) Neural Networks - Dimension reduction.ipynb
(4) Neural Networks - SGD techniques and Recurrent NN.ipynb		(4) Neural Networks - SGD techniques and Recurrent NN.ipynb
(5) Neural Networks - Reinforcement learning.ipynb		(5) Neural Networks - Reinforcement learning.ipynb
PhD_I Mueller Matrix algebra and decompositions.pdf		PhD_I Mueller Matrix algebra and decompositions.pdf
PhD_II Statistics with SPSS.pdf		PhD_II Statistics with SPSS.pdf
PhD_V Statistics and ML.pdf		PhD_V Statistics and ML.pdf
README.md		README.md