Course Review: Udacity’s AWS Machine Learning Foundation Course

A few months ago I took Udacity’s Introduction to Machine Learning Course. Udacity has another course, AWS Machine Learning Foundation Course, and I decided to give this course a try. AWS is not free, so I am going to endeavour to complete the exercises in Google Colab, which is my Jupyter Notebook of choice.

Lesson 1: Welcome

Lesson 1 of the course is an introduction to the course and it explains what the course comprises.

Lesson 2: Introduction to Machine Learning

The three types of machine learning are supervised learning, unsupervised learning and reinforcement learning. Supervised learning deals with making predictions on data that is labeled and unsupervised learning is making predictions on data that is not labeled. Reinforcement learning is learning what actions to take in a situation to maximise reward.

Machine learning is a new field at the intersection of statistics, applied mathematics, and computer science.

Three components of machine learning are the machine learning model, the model training algorithm, and the model inference algorithm.

The major steps in the machine learning process are:-

1. Define the problem