This is a follow up to an article I wrote last year, Machine Learning in a Week, on how I kickstarted my way into machine learning (ml) by devoting five days to the subject.
Getting into machine learning (ml) can seem like an unachievable task from the outside.medium.com
After this highly effective introduction, I continued learning on my spare time and almost exactly one year later I did my first ml project at work, which involved using various ml and natural language processing (nlp) techniques to qualify sales leads at Xeneta.
This felt like a blessing: getting paid to do something I normally did for fun!
It also ripped me out of the delusion that only people with masters degrees or Ph.D’s work with ml professionally.
The truth is you don’t need much maths to get started with machine learning, and you don’t need a degree to use it professionally.
In this post I want to share my journey, as it might inspire others to do the same.