The machine learning scholar adventure

What is the adventure? The machine learning scholar adventure (MLSA) is a self-directed learning journey designed to ramp up my knowledge in machine learning rapidly ? It’s inspired by the structure of the OpenAI’s Scholars program, which works by providing a stipend for 4 months for full time study, pairing you with a mentor and also giving cloud credits for machine learning experiments! Even though, I’m not able to pursue it (e.g. one limitation is that only those in the US can apply), I believe that the most important aspects can be replicated! Consequently, I will follow a curriculum, blog regularly (at… Continue reading

Setting up the Kaggle API on your Paperspace machine

What is Kaggle? It’s an incredible platform that lets you practice your machine learning skills via competitions. Although I’m just getting started, it’s highly regarded as one of the best ways to accelerate your skills in the machine learning community. Where does Paperspace come into this> For?those without their own heavy-duty hardware, Paperspace allows you to rent the computing power you need for machine learning. It’s the ideal way for students taking the fast.ai courses to set up a machine learning environment. This guide shows you how to get the Kaggle API working on a Paperspace machine that’s been set… Continue reading