Machine Learning

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In a nutshell, Machine Learning is a way to give computers the powers of generalization. And that's what I try to do: put [seemingly complicated] things simply. My posts on Machine Learning (ML) focus mainly on recent cutting edge research, and how to make it accessible to everyone. I felt like many academic guides weren't accessible enough, so I strove to make my guides as clear and practically-focused as possible.

Unsure where to start? Here are some of my best / most popular posts:

Similar tags include Tensorflow, GANs, and Private Machine Learning.

Enjoy!

Journey to ML Part 2 Skills of a (Marketable) Machine Learning Engineer

Machine Learning

Skills for making yourself actually stand out

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Journey to Machine Learning Part 1 Introductions Motivations and Roadmap

Machine Learning

Beginnings of how to start a career in Machine Learning

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Literature parsing for mutation classification

Biotech

Automating the work of Grad Students

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Heirarchal Temporal Memory (with Keras example)

Machine Learning

Making ANNs that resemble actual neural networks in the brain

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