In this series we are going to cover the basics of deep learning. And in this introduction video we will discuss two important aspects that you need to consider when thinking about any supervised machine learning algorithm. Namely, first: How does the algorithm make a decision? And second: How do you find the right parameters for the algorithm?
Links:
Corresponding blog post (and slides): https://www.sebastian-mantey.com/post...
GitHub repo: https://github.com/SebastianMantey/De...
“What is Machine Learning?” video: • What is Machine Learning? Part 1/5: High-l...
“Coding a Decision Tree from Scratch” playlist: • Coding a Decision Tree from Scratch in Pyt...
"Basics of Deep Learning" playlist: • Basics of Deep Learning Part 1: Introduction