Becoming a Data Scientist Podcast Episode 03: Shlomo Argamon
Note: The video is the interview only. The audio podcast has the intro, interview, and data science learning club activity explanation.
In Episode 3 of the Becoming a Data Scientist Podcast, we meet Shlomo Argamon, who is the founding director of the Master of Data Science program at Illinois Institute of Technology. He talks to us about his path to data science, including research in robotic vision and natural language processing, we discuss the traits of a good data science student, and he gives some advice for those of us learning data science.
Podcast Audio Links:
Link to podcast Episode 3 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Update 1/19: You should be able to find it on iTunes now!
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Learning Club Activity 3: Business Questions and Communicating Data Answers [to be updated Monday]
Data Science Learning Club Meet & Greet
Here are the links to things Shlomo references in the video:
Illinois Institute of Technology – Professional Master of Data Science Degree
machine vision
robotic mapping
Google Scholar Search for Shlomo Argamon’s publications related to robotics
“Passive map learning and visual place recognition” Doctoral Dissertation [ps.gz from yale]
probability theory
probability distributions
statistical inference
bayesian statistics
Natural Language Processing (NLP)
Google Scholar Search for Shlomo Argamon’s publications related to language
“Automatically Categorizing Written Texts by Author Gender” [Moshe Koppel, Shlomo Argamon, and Anat Rachel Shimoni]
Weka
scikit-learn
Natural Language Toolkit (nltk)
Ethics in Data Science at IIT
Becoming a Data Scientist – A Challenge to Data Scientists (re: bias)
