A Course Summary: Introduction to Machine Learning by Andrew Ng

  1. supervised learning
  2. Unsupervised learning
  3. Reinforcement learning

--

--

--

I am interested in Distributed Systems!

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Towards Optimal Solution for ML Projects (Part I)

[Deep Learning] Intro: Where does it came from?

Machine Learning, a Magical Black Box

The Anatomy of Deep Learning Frameworks

Real-time Dynamic 3D Reconstruction

Machine Learning for Detecting Early Infarction in Stroke with NCCT

Support Vector Machine (SVM)

Mobile Anchor Localization in WSN (Wireless Sensor Network)

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Salem Alqahtani

Salem Alqahtani

I am interested in Distributed Systems!

More from Medium

How to split your dataset into train, test, and validation sets?

Random Forest in Machine Learning 🌳

How to Build a Custom Multivariate Imputation Model in Machine Learning

Data Science : Faster approximate neighbourhood search with Locality Sensitive Hashing