Summary
Portland one-day Python session covering ML/AI fundamentals: supervised vs. unsupervised learning, model evaluation, and neural-network basics.
Why it matters
If you want to build with modern AI tools, you still need the basics: data, evaluation, and how models fail. Short trainings can be a good on-ramp.
Tokenmaxxing angle
Pair the concepts with a cost mindset: test on small datasets first, instrument your experiments, and only scale runs once you can measure improvements.
Source takeaway
The event page says it’s a one-day Python workshop spanning supervised/unsupervised learning, evaluation, and intro neural network concepts.