Building useful machine learning tools keeps getting easier: A fish ID case study
Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.
Deep Learning
Use your human brain to avoid artificial intelligence disasters
Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.
The rise of greedy robots
Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.
Why you should stop worrying about deep learning and deepen your understanding of causality instead
Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.
The joys of offline data collection
Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.
Learning about deep learning through album cover classification
Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.
Hopping on the deep learning bandwagon
To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.