Tech

Day 48 of 100 Days of AI

Michael Tefula

May 12, 2024

I continued working through some Numpy (numerical python) exercises today to better understand why the library is so useful. Turns out, it’s great at dealing with arrays and a variety of numerical computations.

Running linear algebra, statistical operations, and other calculations with Numpy is faster and more memory efficient than writing all the code for these operations yourself, particularly when working with big data and machine learning. It’s why the library is so popular in AI circles.

I don’t expect to master Numpy but I hope knowing the basics will get me far enough.

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Open Problems (& Opportunities) for AI: Summary Notes from the Conference

The Software Engineer is Dead, Long Live the Software Engineer!

Day 100 of 100 Days of AI 🎉

Day 99 of 100 Days of AI