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CSCI-4390/6390: Data Mining, Fall 2018


Class Time: TF 10-11:50AM
Room: Darrin 337
Instructor Office Hours: Lally 307, Tue & Fri 12-1pm


TA: Chelsea Sun
TA Office Hours: Mon & Thurs 1-2pm, AE 118
TA Contact:




Syllabus

Announcements

  • 29 Nov: Assign6 posted. Due 7th Dec. Before Midnight.
  • 11 Nov: Assign5 posted. Due 19th Nov. Before Midnight.
  • 24 Oct: Assign4 posted. Due 1st Nov. Before Midnight.
  • 13 Oct: Assign3 posted. Due 22nd Oct. Before Midnight.
  • 20 Sep: Assign2 posted. Due 28th Sep. Before Midnight.
  • 9 Sep: Assign1 posted. Due 17th Sep. Before Midnight.
  • 28 Aug: Piazza course page set up for data mining. Please signup for Piazza if you are registered for this course.



Calendar & Lecture Notes

A tentative sequence of topics to be covered in the classes; changes are likely as the course progresses.

Day: Date Topic Readings Lectures
F: Aug 31 Data Mining and Analysis: Algebraic and Probabilistic Views Chapter 1 Attach:Lecture1.pdf
T: Sep 4 Numeric Attributes Chapter 2 Attach:Lecture2.pdf
F: Sep 7 Eigenvectors/Eigenvalues Chapter 7 Attach:Lecture3.pdf
T: Sep 11 Dimensionality Reduction Chapter 7 Attach:Lecture4.pdf
F: Sep 14 Linear Discriminant Analysis Chapter 20 Attach:Lecture5.pdf
T: Sep 18 High Dimensional Data Analysis Chapter 6 Attach:Lecture6.pdf
F: Sep 21 Kernel Methods Chapter 5 Attach:Lecture7.pdf
T: Sep 25 Kernel PCA/LDA; Linear Regression See Piazza Resources Attach:Lecture8.pdf
F: Sep 28 Linear Regression II See Piazza Resources Attach:Lecture9.pdf
T: Oct 2 Ridge Regression See Piazza Resources Attach:Lecture10.pdf
F: Oct 5 EXAM I
T: Oct 9 NO CLASS (Mon Schedule)
F: Oct 12 Kernel Regression See Piazza Resources Attach:Lecture11.pdf
T: Oct 16 Logistic Regression See Piazza Resources Attach:Lecture12.pdf
F: Oct 19 Neural networks See Piazza Resources Attach:Lecture13.pdf
T: Oct 23 Neural Networks II See Piazza Resources Attach:Lecture14.pdf
F: Oct 26 Deep Learning See Piazza Resources Attach:Lecture15.pdf
T: Oct 30 Convolutional Neural Nets See Piazza Resources Attach:Lecture16.pdf
F: Nov 2 Classification: Naive Bayes Chapter 18 Attach:Lecture17.pdf
T: Nov 6 EXAM II
F: Nov 9 Classification: SVMs Chapter 21 Attach:Lecture18.pdf
T: Nov 13 SVMs Chapter 21 Attach:Lecture19.pdf
F: Nov 16 NO CLASS
T: Nov 20 Classifier Evaluation Chapter 22 Attach:Lecture20.pdf
F: Nov 23 NO CLASS (Thanksgiving Break)
T: Nov 27 Classifier Evaluation Chapter 22 Attach:Lecture21.pdf
F: Nov 30 K-means/EM Chapters 13 Attach:Lecture22.pdf
T: Dec 4 Density-based Clustering Chapter 15 Attach:Lecture23.pdf
F: Dec 7 Clustering Evaluation Chapter 17 Attach:Lecture24.pdf
T: Dec 11 EXAM III
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Page last modified on December 07, 2018, at 12:44 PM