How Machines Learn: A Practical Guide – freeCodeCamp

Karlijn Willems lists seven steps (and 50+ resources) that will help you get started with machine learning.

You may have heard about machine learning from interesting applications like spam filtering, optical character recognition, and computer vision.

Getting started with machine learning is long process that involves going through several resources. There are books for newbies, academic papers, guided exercises, and standalone projects. It’s easy to lose track of what you need to learn among all these options.

So in today’s post, I’ll list seven steps (and 50+ resources) that can help you get started in this exciting field of Computer Science, and ramp up toward becoming a machine learning hero.

———-

Read the rest of “How Machines Learn: A Practical Guide – freeCodeCamp” from the source: freeCodeCamp.