When you’re a newbie, it’s hard to know where to start.
As a newbie to Machine Learning, I scoured numerous blogs, Medium articles and Quora opinions, trying to figure out the most efficient way to launch myself into this new exciting field.
I took a number of math, statistics and Python MOOCs, preparing for the world of Machine Learning. I participated in the Udacity/Facebook PyTorch Challenge and earned a Udacity Deep Learning Nanodegree.
Finally. I stumbled upon the best, most practical introduction to Machine Learning yet. If I could send a letter to my last-year-self, I’d say “Self: start with the Intro to Machine Learning’ Kaggle Tutorial!!!” It would have made further explorations into ML sooooo much easier.
Kaggle’s Tutorial is short, only about 3 hours. It’s applied machine learning, so you get your feet wet right away. It skips the math and theory and goes right for the gusto.
After the tutorial, you’ll start understanding why math, statistics and Python skills will make you a better Machine Learning Engineer.
The tutorial includes Kaggle’s Python notebook environment, so you don’t have to install anything to practice writing your first Machine Learning program.
Interested in learning Machine Learning? Start with the Tutorial. You’ll thank yourself later.