The fastest way to get help with homework assignments and quizzes is to post your questions on Ed. That way, not only our TAs and instructor can help, your peers can too.
If you prefer that your question addresses to only our TAs and the instructor, you can use the private post feature (i.e., check the "Individual Students(s) / Instructors(s)" radio box).
While we welcome everyone to share their experiences in tackling issues and helping each other out, but please do not post your answers, as that may affect the learning experience of your fellow classmates.
For special cases such as failed submissions due to system errors, missing grades, failed file uploads, emergencies that prevent you from submitting, personal issues, you can contact the staff using a private Ed post, but please ensure to contact us before the deliverable deadline.
TAs plan to hold office hours starting week 2, except on Georgia Tech holidays (e.g., thanksgiving, MLK day, spring break). Each office hour session will be run by at least one TA, and is 1 hour long. See GT’s academic calendar for the full list of holidays (https://registrar.gatech.edu/calendar). We will spread the office hours across weekdays, and across time of the day. We will announce the office hour times.
We will hold office hours via Ed Chat Channel, where the TA running the office hour will be responsive. We will share information about how to join the appropriate Ed Chat Channel.
Please note that you are always welcome to ask questions on Ed. Office hours supplement Ed, and do not replace it.
Wk | Dates | Topics | Homework (HW) | Quizzes | |
---|---|---|---|---|---|
1 | May | 15-19 | * Course introduction and Text Reresesentation * Text data preprocessing: Normalization, lemmatization, stemming, stop words removal... * One hot encoding * BoW (frequency counting) * TF-IDF |
HW1 out Fri, May 19 |
Quiz 0 [ Knowledge-base] |
2 | 22-26 |
* Classification Introduction * Naive Bayes * Classification Model Evaluation: accuracy, precision, recall, confusion matrix * Logistic Regression * SVM * Perceptron |
Quiz 1 [ week 1] |
||
3 | 29-02 | * Memorial Day (Official School Holiday) | HW1 due Fri, Jun 02 (Sat, 07:59 ET) HW2 out Fri, Jun 02 |
Quiz 2 [week 2] out: Fri, May 26due: Tue, May 30 |
|
4 | June | 05-09 | * Neural Network (fully connected) * Word2vec: CBoW, Skip-Gram |
Quiz 3 [ week 3] |
|
5 | Jun | 12-16 | * Focus on HW2 | HW2 due Fri, Jun 16 HW3 out Fri, Jun 16 |
Quiz 4 [ week 4] |
6 | 19-23 | * Juneteenth (Official School Holiday) * CNN (use the chart, provide some explainability) * RNN (quick overview as an intro to LSTM) |
Quiz 5 [ week 2] out: Fri, Jun 16 due: Tue, Jun 20 |
||
7 | 26-30 |
* LSTM and GRU * LSTM + Attention (Focus on Attention mechanism) | Quiz 6 [ week 6] |
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8 | Jul | 03-07 |
* Independence Day (Official School Holiday) |
HW3 due Fri, Jul 07 HW4 out Fri, Jul 07 |
Quiz 7 [ week 7] |
9 | 10-14 | * Sequence Labelling: POS Tagging * Sequence Labelling: NER |
Quiz 8 [ week 8] |
||
10 | 17-21 | * Unsupervised Models *Topic Modeling (Latent Semantic Indexing, LDA (Latent Dirichlet Allocation) |
Quiz 9 [ week 9] |
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11 | 24-25 | * Focus on HW4 | HW4 due Tue, Jul 25 | Quiz 10 [ week 10] |
Just as machine learning algorithms cannot accomplish complex tasks if trained on datasets of limited variability, our course cannot be successful without appreciating the diversity of our students. In this class we aim to create an environment where all voices are valued, respecting the diversity of gender, sexuality, age, socioeconomic status, ability, ethnicity, race, and culture. We always welcome suggestions that can help us achieve this goal. Additionally, if any of our class scheduled activities conflicts with religious events, please inform the instruction team so that we can make appropriate arrangements for you.
Students with disabilities: your access to this course is extremely important to us. The institute has policies regarding disability accommodation, which are administered through the Office of Disability Services: http://disabilityservices.gatech.edu. Please request your accommodation letter as early in the semester as possible, so that we have adequate time to arrange your approved academic accommodations. . If you need a classroom accommodation, please make an appointment with the ADAPTS office (see http://www.adapts.gatech.edu).
Academic support, and personal support: Office of the Dean of Students, Counseling Center, Health Serivces, Women's Resource Center, LGBTQIA Resource Center, Veteran's Resource Center, Georgia Tech Police.
All content and course materials can be accessed online. There is no textbook for this course.
All Georgia Tech students have FREE access to https://www.oreilly.com, where you can find a huge number of highly rated and classic books (e.g., the "animal" books) from O'Reilly and Pearson covering a wide variety of computer science topics, including some of those listed below. Just log in with your official GT email address, e.g., jdoe3@gatech.edu.