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• Advent of Code 2020
• Exercise
• Pinboard API
• how the blog was built
• Jupyter notebooks to markdown
• Windows 10
• Urud Dhal
• Spicy Chickpeas
• Advent of Code 2015
• Blogging with Jupyter notebooks
• Sprouted Daal (lentils)
• Vegan Shami kebab
• Testing note in a subfolder
• MacOS
• Using Anaconda
• Visual Studio Code
• PyCon Australia 2019
• Jupyter Lab tips and tricks
• Daal (lentils)
• Monty Hall
• Statistics Done Wrong: The Woefully Complete Guide
• Data Science blogs
• Googles Best Practices for ML Engineering
• Advent of Code 2016
• SML 2018-09: Deep Reinforcement Learning
• Setup Linux
• PyCon Australia 2018
• MITx 6.00.2X: Intro to Computational Thinking and Data Science
• Setting up Linux on a Chromebook with Crostini
• SML 2018-08: Deep Reinforcement Learning
• KNN algorithim
• Floodfill algorithim
• Finding Pi using Monte Carlo
• quicksort
• Grokking Deep Learning by Andrew Trask
• Techfugees Sydney Hackathon 2018
• DSS-2018-07: Michael Allwright and Inna Kolyshkina
• Microsoft OpenHack 2018 Sydney
• fastai Practical Deep Learning For Coders, Part 1, 2018
• deeplearning.ai: Structuring Machine Learning Projects
• Udacity ND101: Deep Learning Nanodegree
• Notes for Harvard's Cs109 data science class
• Gooogle Chrome
• deeplearning.ai: Improving Deep Neural Networks
• deeplearning.ai: Neural Networks and Deep Learning
• Apache Spark
• Udacity CS101: Intro to CS