Method reference for machine learning with MMA

Mathematica (MMA) is known for its comprehensive library that covers almost everything you need in mathematics, physics and engineering. While I’m a big fan of MMA and MMA released its machine learning (ML) features long time ago, I used to use Python for ML practices because Python is more widely accepted by the data science community and thus, provides better supports. However, it has been 4 years after MMA 11’s first release, the ML features in MMA are getting much better than before. So, I’ve spent sometime playing with MMA ML and made such a reference for later conveniences.

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Building personal blog with GitHub Pages, Jekyll and AMP (Outdated)

Updated on 04/16/2023: This post is outdated and this blog no longer used Jekyll and AMP.

I built this Blog with Jekyll, GitHub Pages and AMP (see links at footer). The basic framework is based upon template hanuman, yet significant modifications are made. In this note, I share the basics of using these tools to build and customize your own website. This note is very friendly for starters.

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Mathematica Tricks

This note records some useful tricks I learnt in the past years of using Mathematica (MMA). MMA provides a very powerful language system that realizes almost any functionality one would image. However, such a huge library means large learning cost.

Some exmaples are available in my MMA Repository and you can check there for more fun stuffs!

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