coursework

My continuing education in all things computational and machine learning.

incomplete

• algos1: incomplete work on algorithms part 1.
• ctci: cracking the coding interview exercises.
• ift2125: analysis of algorithms, udem, 2018.
• ift2015: data structures, udem, 2018.
• ift6135: representation learning, udem, 2018.
• scala: incomplete work on functional programming principles in scala

complete

• deeplearningai: complete work on deep learning specialization.
• hadoop: complete work on hadoop platform and application framework.
• intro-data-science: complete work on introduction to data science (coursera 2013).
• machine-learning: complete work on machine learning.
• neural-networks: complete work on neural networks for machine learning
• scinet-dl: a short course by scinet on deep learning, 2017.
• sysadmin: course on debian system administration, 2016.

references

• deep_learning_technical: a very intense book on deep learning from a mathematical perspective.
• mila_framework_tutorials: MILA lab pytorch examples.
• mlsp-challange-2014: basic ml for fmri-based schizophrenia prediction, kaggle.
• tensorflow-examples: example tensorflow implementations, including multi-gpu.