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MA 322 — Statistics, Machine Learning, and Data Mining

3 credits; 3 lecture hours

This is an introduction to statistical techniques for machine learning and data mining. It emphasizes mathematical methods and computer applications related to automated learning for prediction, classification, knowledge discovery, and forecasting in modern data science. An appropriate programming language such as R or python will be used.
Prerequisite(s): MA 222 and mathematic proficiency (see beginning of Mathematics section).

Fashion Design–Knitwear

http://catalog.fitnyc.edu/undergraduate/majors/baccalaureatedegreeprograms/fashiondesignknitwear/

...2.5 FF 322 - 20th Century Style...MU (Music); HI (History); MA (Math); MC (Modern...

Fashion Design–Sportswear

http://catalog.fitnyc.edu/undergraduate/majors/baccalaureatedegreeprograms/fashiondesignsportswear/

...2.5 FF 322 - 20th Century Style...MU (Music); HI (History); MA (Math); MC (Modern...

Film and Media BS Degree Program

http://catalog.fitnyc.edu/undergraduate/majors/baccalaureatedegreeprograms/filmmediamajor/

...credits. CHOICE of any MA that meets SUNY...319 , FI 320 , FI 322 , FI 323 , FI...

Photography and Related Media BFA Degree Program

http://catalog.fitnyc.edu/undergraduate/majors/baccalaureatedegreeprograms/photographyandrelatedmediamajor/

...Speech: 3 credits. EN 322 Liberal Arts Elective...JA (Japanese); HI (History); MA (Math); MC (Modern...