Lectures

The course consists of the following lectures:

Lecture # File Additional Information Data
1 DSTM-01Overview.pdf
2 DSTM-02RDBMS.pdf DSTM-TruthTableWorksheet
3 DSTM-03RC.pdf DSTM-03RCHandout
DSTM-03RCHandout.pdf
4 DSTM-04RelAlgebra.pdf
5 DSTM-05SQL1.pdf
6 DSTM-06SQL2.pdf
7 DSTM-07SQL3.pdf
8 DSTM-08DDL1.pdf
9 DSTM-09ImperativeSQL.pdf
10 DSTM-10ImperativeSQL2.pdf DSTM-TestingSQL.ipynb
11 DSTM-11BigDataIntro.pdf
12 DSTM-12ModelingOne.pdf DSTM-Modeling1.ipynb
13 DSTM-13ModelingTwo.pdf
14 DSTM-14Python.pdf DSTM-introToPython.ipynb
15 DSTM-15Spark.pdf DSTM-Spark.ipynb Moby-Dick.txt
16 DSTM-16GradDesc.pdf
17 DSTM-17Newtons.pdf
18 DSTM-18EM.pdf DSTM-18EMHandout.pdf
19 DSTM-19IntroSupervised.pdf
20 DSTM-20LinearRegression.pdf
21 DSTM-21GLM.pdf
22 DSTM-22SVM.pdf
23 DSTM-23Regularization.pdf
24 DSTM-24Sequential.pdf
25 DSTM-25FeedForward.pdf DSTM-25FeedFordwardHandout.pdf
26 DSTM-26BackProp.pdf
27 DSTM-27-Conv.pdf
28 DSTM-28LSTM.pdf

DSTM-28RNN.pdf

 DSTM-28bTFAssgn.pdf
29 DSTM-29IntroUnsupervised.pdf
30 DSTM-30MixtureModels.pdf
31 DSTM-31Outliers.pdf DSTM-31OutliersHandout.pdf
32 DSTM-32DimReducton.pdf

The lectures are prepared in LaTeX. The figures and source code for the lectures can be found here: lecture source code and figures