Notes (Beta)
============

The notes on this website was written during my PhD in data science. Below are a list of topics.

.. toctree::
   :maxdepth: 2

   nblinks/intro_supervised.nblink
   nblinks/Discriminant_analysis.nblink
   nblinks/hmm.nblink
   nblinks/nn_learning.nblink
   nblinks/network_science.nblink
   nblinks/model_summaries.nblink
   nblinks/explainable_ai.nblink
   nblinks/gans.nblink
   nblinks/AB_testing.nblink
   nblinks/Attention.nblink
   nblinks/Common_interview_questions.nblink
   nblinks/Cross_entropy.nblink
   nblinks/Regularization.nblink
   nblinks/theoretical_statistics.nblink
   nblinks/theoretical_statistics_questions.nblink
   .. nblinks/bootstrapping_method.nblink
   .. nblinks/inversion_method.nblink
   .. nblinks/jackknife_sample_method.nblink
   .. nblinks/markov_chain_monte_carlo_method.nblink
   .. nblinks/svm.nblink
   nblinks/nlp.nblink
   nblinks/scaling_graph_neural_networks.nblink
   nblinks/ContextualBandits.nblink
   .. nblinks/Basic_neural_networks.nblink
   .. nblinks/Gradient_descent.nblink
   .. nblinks/LeastSquaresSVM.nblink
   .. nblinks/RegularizationMethods.nblink
   .. nblinks/SVMAdaptations.nblink
   nblinks/nn_gaussian_process.nblink
   nblinks/KernelPCA.nblink