CISC 3440 Machine Learning

Instructor: Rivka Levitan
Email: proflevitan at gmail. Do not use other emails, including the cuny address from which you receive class emails
Time: Monday 6:30-9:10pm
Location: ONLINE (Blackboard Collaborate Ultra)
Office hours: Tuesday 1:30-2:30pm, Thursday 10:30-11:30am, in the BB Course Room
URL: www.sci.brooklyn.cuny.edu/~levitan/ml


Objectives: (from dept syllabus)
An introduction to machine learning for students with some mathematical maturity. Topics include: machine learning in relation to artificial intelligence, data sources and characteristics, linear and non-linear regression, machine learning concepts like the bias-variance tradeoff, linear and non-linear classification, hidden Markov models and the expectation-maximization algorithm, unsupervised learning, and deep learning. Examples will be drawn from several domains including natural language processing.

Text/material: Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow, 2nd edition, Géron, O'Reilly.

Grading: Participation rubric:
Goal 3 questions
Scale: 0-4
1pt - chat participation
2 - multiple interesting questions in chat or vocal
3- multiple interesting vocal questions
4 - hard question/answer

Communication: Individual communications that will not be relevant to the rest of the class should be sent to proflevitan at gmail with the subject <CISC3440>. Emails to other addresses will not necessarily be seen or answered

Plagiarism
The faculty and administration of Brooklyn College support an environment free from cheating and plagiarism. Each student is responsible for being aware of what constitutes cheating and plagiarism and for avoiding both. The complete text of the CUNY Academic Integrity Policy and the Brooklyn College procedure for policy implementation can be found at www.brooklyn.cuny.edu/bc/policies. If a faculty member suspects a violation of academic integrity and, upon investigation, confirms that violation, or if the student admits the violation, the faculty member MUST report the violation.

Center for Student Disability Services
In order to receive disability-related academic accommodations students must first be registered with the Center for Student Disability Services. Students who have a documented disability or suspect they may have a disability are invited to set up an appointment with the Director of the Center for Student Disability Services, Ms. Valerie Stewart-Lovell at (718) 951-5538. If you have already registered with the Center for Student Disability Services, please provide your professor with the course accommodation form and discuss your specific accommodation with him/her.

Non-attendance because of religious beliefs
The New York State Education Law provides that no student shall be expelled or refused admission to an institution of higher education because he or she is unable to attend classes or participate in examinations or study or work requirements on any particular day or days because of religious beliefs. Students who are unable to attend classes on a particular day or days because of religious beliefs will be excused from any examination or study or work requirements. Faculty must make good-faith efforts to provide students absent from class because of religious beliefs equivalent opportunities to make up the work missed; no additional fees may be charged for this consideration.