I got accepted into the PyTorch Scholarship Challenge program, offered by Facebook, which focuses on teaching Deep Learning using the PyTorch framework.
If you are interested in learning about Machine Learning, as everyone should be, I've compiled a list of resources that I've found to be quite valuable throughout my journey to become a Machine Learning Engineer.
I’ve been meaning to finish this course for a while now but every time some other attraction caught my attention like some other MOOC or subject. I knew, because of the popularity and the numerous positive reviews, that this course is going to be a good one but every time, there came a new MOOC on some new subject that I’ve been waiting for and I rushed towards it.
A while back, I started the Deep Learning course provided by fast.ai and after going through the first few lessons, I felt like I needed to brush up on my Machine Learning skills first if I want to get a deeper understanding of the Deep Learning. It wasn’t that they were going at an extra pace or were covering hard mathematical problems and complex algorithms, but they did require us to learn some material on our own, by reading articles or watching some videos or simulations etc.
After dabbling in Machine Learning and Deep Learning for a few months, I’ve decided to dip my toes into the field of Robotics. My favorite pastime is to learn about new things and to explore the uncharted territory. For now, my heart is set on learning about the Robots, getting a general overview as to how they perform their functions and how to train and build a robot.
Recently, as I was working on Odoo, I came across a problem when I wanted to print a report. It was generating the HTML report just fine but when I wanted to download that report, it was having difficulty converting that report into PDF. Basically, the version of wkhtmltopdf library wasn’t compatible with the current setup.
What makes the fast.ai course on deep learning different from many others! Initial Impression of the course and the approach followed by Jeremy Howard.