What I'm up to

I’ve left my machine learning engineer role at Max Kelsen to go full-time on my own business, creating content and making things on the internet.

Putting together a concise resource of my favourite machine learning and data science learning resources, you can see them all here.

Working through the list of 25 things I’m going to do before I’m 26 (had to pull out of some of the physical endurance endeavours due to Ross River virus).

Writing a post a day on the blog.

Checking out Swift for app development and Swift for TensorFlow. I want to build things others can use and create content around them.


What I'm reading

The Hundred-Page Machine Learning Book — Two things I love are learning and brevity. And this book combines them both. It describes the most useful machine learning techniques in a compact and powerful manner. There’s also a GitHub repo with code samples to go along.

Deep Medicine by Eric Topol — In healthcare, deep learning has been considered a solution without a problem. This book explores the application of deep learning in healthcare. Where can it be used? How can it be used? I want to learn more about these things and start putting them to work. Once I figure out more, I’ll be sure to share.

Once I’m through these, I’ll be posting review videos on my YouTube channel.


Last update: 30 June 2019

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