What I'm up to
Resting and recovering from Ross River virus (mostly taking care of sore joints and sleeping when required).
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 to to the above).
Writing a post a day on the blog.
Checking out Flutter and Swift for app development. I want to build things others can use and create content around them. Flutter looks powerful due to its multi-platform use. If you’ve got a recommendation between the two, I’d love to hear it.
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.
Hands On Machine Learning with Scikit-Learn and TensorFlow by Aurelien Geron — This book is probably the most aligned with the work I’ve been doing on the daily at Max Kelsen as a Machine Learning Engineer. It focuses on a ground up approach to machine learning, using the more traditional techniques rather than diving straight into the latest and greatest methods. But then the end of the book starts getting into more advanced approaches but I’m not up to that part yet. A great starting place for anyone with some Python experience to get into machine learning.
Once I’m through these, I’ll be posting review videos on my YouTube channel.