Why (Not) do Machine (Deep) Learning on a Mac (Mini)?

 I haven't owned a Mac in over a decade. My last Mac was a PowerPC PowerBook G4. So why did I decide to go back to the Mac?

First, my 6-year-old 4GB HP Spectre 360 was just not cutting it for my personal projects. Second, Although I have a 16 GB Intel i7 computer from work, I like to keep work and personal projects separate. Third, the new M1 chip by Apple just kept getting so many good reviews by the end of the year. The most affordable way to get may hands on a M1 Apple chip without cluttering my workspace too much was the Mac Mini.

I have decided to start this blog to talk about my experience using the M1 Mac Mini for Data Science and Econometrics. I will attempt to have a weekly summary of the things I worked on and if possible share some code and data. I will definetly share some links to the resources I mention on my posts.

In my next post I'll be talking about my Mac and the current set up I have. If you find these things interesting, please stick around and provide some feedback.

I don't want to end without answering the question I posted on the title. The answer is just: Why not.

CO

Location: Silver Spring, MD, USA

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