Machine Learning

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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:

Similar tags include Neural Networks, Computer Vision, and Random Forests.

Happy Reading!

Keras for Beginners

Series

A beginner-friendly series on using Keras to build, train, and evaluate Neural Networks in Python.

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Keras for Beginners: Implementing a Recurrent Neural Network

Python

A beginner-friendly guide on using Keras to implement a simple Recurrent Neural Network (RNN) in Python.

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One-Hot Encoding, Explained

Machine Learning

A simple guide on the what, why, and how of One-Hot Encoding.

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Easy Visual Question Answering

Machine Learning

Co-Authored by Phillip Wang

A gentle introduction to Visual Question Answering (VQA) using neural networks.

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A Simple Explanation of the Bag-of-Words Model

Machine Learning

A quick, easy introduction to the Bag-of-Words model and how to implement it in Python.

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Keras for Beginners: Implementing a Convolutional Neural Network

Python

A beginner-friendly guide on using Keras to implement a simple Convolutional Neural Network (CNN) in Python.

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AutoML: 7 Tools to Get You Started with Data Science Automation

Machine Learning

Guest Post

A survey of the best programming languages for Artificial Intelligence and Machine Learning.

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The Best Programming Languages for Machine Learning

Machine Learning

Guest Post by Owen Leeks

A survey of the best programming languages for Artificial Intelligence and Machine Learning.

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