Resources and References

Here I will keep track of all the resources, references, software I have used throughout this blog.

Machine Learning

"Machine Learning for Intelligent Systems"

A series of YouTube videos recorded from Prof. Killian Weinberger lecture series for Cornell University. These 38 lectures begin with the simple setup of a machine learning model, and work up all the way to artificial intelligence. Highly recommended for helping better understanding machine learning theory.

Software

"Anaconda"

A python package manager for data analysis.

"Jupyter Notebooks"

Live code editor, where code can be shared easily.

"Sublime"
Text editor with syntax highlighting for many different coding languages.