Machine Learning - Page 3
← Back to All Tags
Machine Learning is, put simply, getting computers to generalize from examples. And that's what I try to do: put [seemingly complicated] things simply. My posts on Machine Learning (ML) consist primarily of beginner-focused introductions to common ML models or concepts. I felt like too many ML tutorials weren't accessible enough, so I strove to make my guides as clear and beginner-friendly as possible.
Unsure where to start? Here are some of my best / most popular posts:
- An Introduction to Neural Networks
- An Introduction to Convolutional Neural Networks
- An Introduction to Recurrent Neural Networks
- Random Forests for Complete Beginners
Similar tags include Neural Networks, Computer Vision, and Random Forests.
Happy Reading!
A Simple Explanation of Gini Impurity
What Gini Impurity is (with examples) and how it's used to train Decision Trees.
ReadMachine Learning for Beginners: An Introduction to Neural Networks
A simple explanation of how they work and how to implement one from scratch in Python.
ReadBuilding a Better Profanity Detection Library with scikit-learn
Why existing libraries are uninspiring and how I built a better one.
Read