I write about AI, Biotech, and a bunch of other topics. Subscribe to get new posts by email!
© Matthew McAteer 2022
Machine Learning - Page 6
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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:
- Lessons from becoming a Machine Learning Engineer in 12 months, without a CS or Math degree
- How to approach algorithm problems
- An introduction to probabilistic programming, now available in TensorFlow Probability
Similar tags include Tensorflow, GANs, and Private Machine Learning.
Enjoy!
Getting Returns from RL Algorithms
Using algos from robotics and videogames to tackle the stock market
ReadJourney to ML Part 2 Skills of a (Marketable) Machine Learning Engineer
Skills for making yourself actually stand out
ReadJourney to Machine Learning Part 1 Introductions Motivations and Roadmap
Beginnings of how to start a career in Machine Learning
ReadHeirarchal Temporal Memory (with Keras example)
Making ANNs that resemble actual neural networks in the brain
Read