New to Machine learning and starting to learn about it. I think I understand how ML is fundamentally different from traditional programming. I have also come across the 3 categories of ML: Supervised, Unsupervised and Reinforced learning.
There 2 other terms I often seen thrown about that I still can't fit into my fundamental understanding of machine learning. And these are Neural Networks and Deep Learning.
What exactly is a Neural Networks? What exactly is Deep Learning? How does it fit into ML? Are they other kinds of ML? or techniques used in the different subset of ML?
finlaydotweber t1_j0op4rt wrote
Reply to [D] Simple Questions Thread by AutoModerator
New to Machine learning and starting to learn about it. I think I understand how ML is fundamentally different from traditional programming. I have also come across the 3 categories of ML: Supervised, Unsupervised and Reinforced learning.
There 2 other terms I often seen thrown about that I still can't fit into my fundamental understanding of machine learning. And these are Neural Networks and Deep Learning.
What exactly is a Neural Networks? What exactly is Deep Learning? How does it fit into ML? Are they other kinds of ML? or techniques used in the different subset of ML?