Big Data: A Closer Look
(free and open to the public;
high school students/parents/teachers/administrators are particularly welcome)
Philip Chan, Debasis Mitra, Ryan Stansifer (Florida Tech)
Jan 31, Friday, 7-8pm, Auditorium (Room 130), Olin Life Sciences Building, Florida Tech
Materials from the lecture
Video
(re-recorded on 3/28)
Slides: Introduction, Recommendation Systems, Organizing News Articles, Spam Detection, DNA Sequence Analysis
Flyer
Directions to Florida Tech campus
Campus map (Building 35 is Olin Life Sciences Building; closest parking lot is outside Building 36)
Press Release
The term "Big Data," in recent years, has been used by the news media
in reference to the large amounts of data collected from our digital
lives and computational advances in using them to improve our lives.
We will briefly explore some of the key challenges and ideas in areas
such as recommending products (netflix, amazon), identifying spam
(yahoo mail, gmail), organizing news articles (google news), and DNA
sequence analysis.
About the speakers:
Philip Chan is a faculty member in computer science at Florida Tech.
His main research interests
are in machine learning and data mining.
Debasis Mitra is a faculty member in computer science at Florida Tech.
His main research interests
are in medical imaging, bioinformatics, and scientific computing.
Ryan Stansifer is a faculty member in computer science at Florida Tech.
His main research interests are in programming languages, especially type
theory and functional language. He hopes to strengthen problem solving
abilities in his students through intercollegiate programming
competitions.
Previous community lectures