ML-Everything

ML-Everything

Applying machine learning to everything

  1. How Facial Recognition Works Part 4, Comparing Congressmen to Mugshots

  2. How Facial Recognition Works Part 3, How a Face Changes Over 10 Years

  3. How Facial Recognition Works Part 2, Facial Landmarks

  4. Scala’s Case Class in Python with Case Matching

  5. How Facial Recognition Works Part 1: Face Detection

  6. Calculating the Probability of Skittle Distribution by Brute Force

  7. Building an Object Detection API with AWS S3, Rekognition and Lambda

  8. Predicting the Stock Market, p-Hacking and Why You Should Be Bullish

  9. Generating Letters Using Generative Adversarial Networks (GANs)

  10. Another 'Variational Auto Encoders Explained' Post and Character Encoding