James Macák

Bio

Undergraduate at Hartwick College studying Computer Science while minoring in Mathematics. I'm primarily interested in Machine Learning and have chosen to pursue my education outside of my course requirements. Through Coursera I completed Dr. Andrew Ng's Machine Learning class, using Octave, offered by Stanford University, which covered such topics as Linear and Logistic Regression, Neural Networks, Support Vector Machines, Unsupervised Learning, etc... Going on to complete MIT 6.S191 over the JTerm duration for Hartwick College. I elected to study this on my own as an independent study, reporting to my professors my lecture notes and lab work. This course opened my eyes the the breadth of DL (NNs, RNNs, CNNs, RL, and the like, on both NLP and CV) and since I have refined my studies primarily to NLP. My thesis, Disaster classification of tweets, is an NLP project that is centered around a dataset of over 10,000 tweets. In May, 2021 I will present my work in the form of a thesis defense to my department.

Education

Bachelor of Science, Computer Science -- Hartwick College
Minor: Mathematics

Awards and Recognition

Hartwick College
  2021: Magna Cum Laude
  2019-2020: John Christopher Hartwick Faculty Scholar, The Departmental Award for Excellence in Computer Science, Dean's List
  2018-2019: The Departmental Award for Excellence in Computer Science, Dean's List
  2017-2018: Dean's List
  2016-2017: Dean's List
  2016: Oyaron Scholarship (highest merit scholarship offered by Hartwick to incoming freshmen)

References

Papers

Current Reads

The Art of Computer Programming, Volume 1 Fundamental Algorithms by Donald E. Kunth (1997)
The Cost of Discipleship by Dietrich Bonhoeffer (1963)
According to Luke: A new Exposition of the Third Gospel by David Gooding (1987)
The Age of AI: Artificial Intelligence and the Future of Humanity by Jason Thacker (2020)
Deep Work: Rules for Focused Success in a Distracted World by Cal Newport (2016)

The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition by David Thomas, Andrew Hunt

Contact

mailto:jmacak@protonmail.com
https://github.com/jamesmacak
https://www.linkedin.com/in/james-m-882742117