Machine Learning from First Principles
Roadmap
- Where did machine learning come from?
- What do all these buzzwords mean?
- How do humans learn?
- How do computers learn?
- What is supervised learning and how does it work?
- What is unsupervised learning and how does it work?
- Where can I go from here?
Goal:
First and foremost machine learning carries with it this connotation that it is extremely complex. While it is mathematically rigorous it is really simple when you break it down into mathematical terms and even more simple to grasp once you see a real world example of how it is used all the time on people like you and I. My goal is to teach anyone that has a basic understanding of algebra how this crazy stuff works under the hood.
Should I not achieve that goal PLEASE leave a comment so I can answer any questions on this subject!
So let’s dive in…
Where did machine learning come from?
In 1959 while at IBM, Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term “Machine Learning”. For the next several decades this area of computer…
