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, searching for the most efficient way to approach this new exciting field.
I ended up taking a number of math, statistics and Python MOOCs. 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 I’ve seen 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 subsequent explorations into ML sooooo much easier.
Kaggle’s Tutorial is short: only 3 hours of study. It’s applied machine learning, so you get to dive in right away. It skips the math and theory and goes right for the gusto.
After the tutorial, you’ll understand 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.
And it’s free!
Interested in learning Machine Learning? Start with the Tutorial. You’ll thank your Self later.
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