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STA 663: Computational Statistics and Statistical Computing (2018)

All notebooks and exercises are available at the GitHub Repository.

Lecture notebooks

.. toctree::
   :maxdepth: 1

   notebooks/S00_Python.ipynb
   notebooks/S01_Python_Basics_Annotated.ipynb
   notebooks/S02_Python_Functions_Annotated.ipynb
   notebooks/S03_Numpy_Annotated.ipynb
   notebooks/S04_Graphics_Annotated.ipynb
   notebooks/S05_Text_Annotated.ipynb
   notebooks/S06_Data_Annotated.ipynb
   notebooks/S06A_SQL.ipynb
   notebooks/Extras_01_The_Humble_For_Loop.ipynb
   notebooks/Extras_02_Functional_Word_Counting.ipynb
   notebooks/Extras_03_Symbolic_Algebra.ipynb
   notebooks/S06B_Machine_Learning.ipynb
   notebooks/S07A_Scalars_Annotated.ipynb
   notebooks/S07B_Vectors_Annotated.ipynb
   notebooks/S07C_Matrices_Annotated.ipynb
   notebooks/S07D_Sparse_Matrices_Annotated.ipynb
   notebooks/S08A_Matrices_Linear_Combinations_Annotated.ipynb
   notebooks/S08B_Sovling_Linear_Equations_Annotated.ipynb
   notebooks/S08C_SVD.ipynb
   notebooks/S08D_Least_Squares.ipynb
   notebooks/S09A_Root_Finding.ipynb
   notebooks/S09B_Optimization.ipynb
   notebooks/S09C_Optimization_Algorithms.ipynb
   notebooks/S09D_Optimization_Examples.ipynb
   notebooks/S09E_Optimization_Line_Search.ipynb
   notebooks/S09F_Least_Squares_Optimization.ipynb
   notebooks/S09G_Gradient_Descent_Optimization.ipynb
   notebooks/S09H_Constrained_Optimization.ipynb
   notebooks/S10A_Random_Variables.ipynb
   notebooks/S10X_Resampling_Simulation.ipynb
   notebooks/S10B_MarkovChains.ipynb
   notebooks/S10C_Monte_Carlo_Integration.ipynb
   notebooks/S10_AbbreviatedNotes.ipynb
   notebooks/S11_Probabilistic_Programming.ipynb
   notebooks/S11A_PyMC3.ipynb
   notebooks/S10D_MCMC.ipynb
   notebooks/S10E_HMC.ipynb
   notebooks/S12_CPP_Annotated.ipynb
   notebooks/S13A_Numba.ipynb
   notebooks/S13B_Cython.ipynb
   notebooks/S13C_pybind11.ipynb
   notebooks/S13_Native_Code_Compilation.ipynb
   notebooks/S14A_Parallel_Programming_Introduction.ipynb
   notebooks/S14B_Multicore_Parallelism.ipynb
   notebooks/S14C_Parallel_Programming_Extended_Example.ipynb
   notebooks/S14D_IPyParallel.ipynb
   notebooks/S14E_Scalable_Data_Analytics.ipynb
   notebooks/S14F_Data_Sketches.ipynb
   notebooks/S15A_Introduction_To_Spark.ipynb
   notebooks/S15B_Working_With_RDDs.ipynb
   notebooks/S15C_Spark_DataFrames.ipynb
   notebooks/S15D_Spark_MLib.ipynb
   notebooks/S15E_Efficiency_In_Spark.ipynb
   notebooks/S15F_SparkMagic.ipynb
   notebooks/S16_Introducing_TensorFlow.ipnb
   notebooks/S16A_Using_TensorFlow.ipynb
   notebooks/S16B_Regression_In_TensorFlow.ipynb
   notebooks/S16C_Using_Keras.ipynb
   notebooks/S16D_CNN.ipynb
   notebooks/S16E_Sequential_Functional_Interfaces.ipynb

Exercise notebooks

.. toctree::
  :maxdepth: 1

  labs/Lab00.ipynb
  labs/Lab02.ipynb
  labs/Lab03.ipynb
  labs/Lab04.ipynb
  labs/Lab05.ipynb
  labs/Lab06.ipynb
  labs/Lab07.ipynb
  labs/Lab08.ipynb
  labs/Lab09.ipynb
  labs/Lab10.ipynb
  labs/Lab11A.ipynb
  labs/Lab11B.ipynb
  labs/Lab05S.ipynb
  labs/Lab06S.ipynb
  labs/Mock Exam.ipynb
  exams/Midterm_Exams_STA663_2018.ipynb

Indices and tables