Schedule

All labs and hw are due on Fridays at midnight.

Week 1 - Aug. 21

Wed

Read Discuss syllabus; install DataSpell

Fri

ReadTM_Ch. 1 - Introduction-ppt

LabLab1-Intro. Read MG Ch.1 Intro: Lab due Friday 8/30 at midnight; Complete the installation part before class. Link to upload Lab1.

Week 2 - Aug. 26

Mo: Complete Lab1 and TM_Ch. 1 from last class
Wed: ReadTM_Ch.2 - Concept learning (Find-S alg.)-pdf; Activity Class activity
Fri: Lab Lab2 - covers MG_Ch.1 pg. 13-23; Lab2-Intro k-NN due Friday 9/6 at midnight; Complete the installation part before class. Link to upload lab.

Week 3 - Sept. 2

Mon

Read TM_Ch. 2 - Concept learning (Candidate elim. alg.)

Wed

ReadTM_Ch.3 - Decision trees-pdf

Activity Class activity

Activity due Friday 9/13 at midnight; Link to upload activity.

Fri

Complete last lecture, and Lab2 if students still need help with it;

HW Hw 1(5pts): Hw due Friday 9/13 at midnight; Link to upload your hw as Word doc.

Week 4 - Sept. 9

Mon: Continue with ch3 lecture
Wed: Section Complete class activity with dec. trees :Ex. Gain Ratio
Fri: Read TM_Ch. 4 - Neural Networks(pdf); Activity Activity perceptron; Activity due Friday 9/20 at midnight; Link to upload activity.; HW Hw 2(5pts); Hw due Friday 9/20 at midnight; Link to upload your hw as Word doc.

Week 5 - Sept. 16

Mon: SectionContinue Ch. 4; Activity Activity perceptron alg.; Activity due Friday 9/20 at midnight; Link to upload activity.
Wed: SectionContinue Ch. 4; Lab Lab3 - covers part of MG_Ch.2; Lab3-Dec. Trees due Friday 9/27 at midnight; Link to upload lab.
Fri: Proofessor attends conference, no class; work on your own on Lab3 and hw

Week 6 - Sept. 23

Mon

Section Continue Ch. 4

For fun Google’s Quick, Draw!

Wed

Review Exam 1 Review: Ch. 2, 3, 4

Fri

Exam Exam 1

HW Hw 3(5pts): Hw due Friday 10/4 at midnight; Link to upload your hw.

Week 7 - Sept. 30

Mon: Lab Lab4 - perceptron; Lab4-Perceptron due Friday Oct.4 at midnight; Link to upload lab.
Wed: Activity Activity sigmoid unit ex.
Fri: Lab Lab5 - NN; Lab5-NN due Friday Oct.18 at midnight; Link to upload lab.

Week 8 - Oct. 7 - Fall Break

Mon:

Break: No class

Wed:

Break: No class

Fri:

Break: No class

Week 9 - Oct. 14

Mon

SectionRestricted Boltzmann Machines (RBM)

SectionDeep Learning with RBM [Boltzman is 2nd best way to extract features]

Wed

SectionDeep Learning and Convolutional NN ppt [convolution is best way to extract features]

Fri

SectionGenerative AI and LLMs

HW Hw 4(5pts): Hw due Friday Oct. 25 at midnight; Link to upload your hw.

Week 10 - Oct. 21

Mon

SectionSVM vs Perceptron

Wed

ReadTM_Ch.6 Bayesian Learning - MAP and ML

Activity Probab. activity: Due Friday at midnight; Link to upload activity.

Fri

Activity Naive Bayes activity

Section[Continue Ch. 6 - Bayesian Belief Networks]

Week 11 - Oct. 28

Mon: ProjectDiscuss Final Project - link to decription; LabLab6-Bayesian Belief Networks - OPTIONAL, no points
Wed: Section[Continue Ch. 6]; Activity NB classification of articles
Fri: SectionTM_Ch. 8 - Instance-Based Learning (k-means clustering; k-nearest neighbors)

Week 12 - Nov. 4

Mon

SectionTM_Ch. 8 - continuation

Project[Work on final project and creation of teams]

ProjectTeams pitch a project idea - Link to upload project idea; please sign both student names as confirmation that entire team agrees on the topic - due tonight.

Wed

Activity/Hw Activity/hw k-NN (will count as 3pts hw): Due Friday at midnight; Link to upload activity.

SectionTM_Ch. 9 - Genetic Algorithms

Fri

ProjectStep 1 due today - Decide on project[Entire team must present idea in class in ~3min or less (“elevator speach”). Be clear, and rehears your brief presentation, you may use 1-2 slides. Note: 2/5 points will be class attendance when project is discussed.]

SectionTM_Ch. 9 - continuation