timdavidlee / Learning Deep
All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1
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Deep Learning Study Guide
Collected Resources for Machine and Deep Learning
Disclaimer: I am currently a student of the USF MSAN Program (Master's in Analytics)
Some of the material is from the coursework through the program, others from outside sources.
def learn_deep():
return knowledge
Distributed Computing MSAN694
Covers Spark, Spark storage, working with RDD, pyspark, map-reduce framework and implementations. Focuses on ETL across different partitions.
Deep Learning 1 by Jeremy Howard
Part of the evening course taught by Jeremy Howard. Starts with CNN and works backwards through the deeper parts of neural networks.
Machine Learning by Jeremy Howard
Deep dives into Random Forests + Neural Networks, learn how they work, learn to build them from scratch. Explore the use of sklearn and torch flexible libraries for a number of applications
Deep Learning by Coursera, Courses 1-3 notes
This is still a work in progress, but its basically a written form of the Andrew Ng. Coursera course.
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