I am an ML Engineer working at ZenML. This blog is a place for me to process and share what I learn along the way.
A reminder that early on, nothing really beats writing code for growing as a coder
Sep 18, 2021
Some of the code libraries I plan on reading to improve my Pythonic style
Discovering an optimised alternative to numpy arrays that are used from the ground up when you train deep learning models
Sep 16, 2021
Getting a development environment setup for Python and having to choose between pyenv vs virtualenv vs venv
Sep 14, 2021
I extracted the core problems that TensorFlow Extended (TFX) was looking to solve from its 2017 public launch paper.
Sep 11, 2021
Reviewing the main building blocks of the deep learning training workflow in the first chapters of the fastai book
Sep 10, 2021
A small bit of Jupyter notebook magic
Sep 9, 2021
What I understand of the domain, prior to starting to work in this area full-time
Sep 8, 2021
How I trained a model to detect redactions in FOIA requests, using Prodigy for data labelling and the fastai library for model training
Sep 6, 2021
