Finished the first chapter of #DataCamp’s course: Data Science Toolbox Part 2. Its a free chapter with exercises using iterators and iterables in #Python. I’ve been looking at a few other courses also, to decide what to work on next. I’ve a few options: Udacity’s Secure and Private AI scholarship Kaggle’s Intro to Machine Learning […]
#DataCamp: Deep Learning with PyTorch – Loss Functions. This stuff is really advanced, but I’m starting to grasp the concepts. I’ll keep going with this chapter, as I’m 60% there.
30 minutes of Activation functions in PyTorch with #DataCamp. I’m pressing ahead with this course for now. It’s pretty theory heavy, but working through the exercises will help me learn the concepts of Deep Learning first. The theory and math under the hood I can dive into later.
Got up early, and got today’s session in before 7am. Busy days with the kids on summer holidays, so no early nights and mornings from hereon in. Working on Python functions for now with #DataCamp. I may move onto Machine Learning courses in a few weeks.
And I’ve begun! I’m halfway through DataCamp’s Python Data Science Toolbox (Part1). I took out a 1 year subscription in January, and I’m finding the interactive exercises are good for revision and quick bursts of coding. As I progress in this 100DaysOfCode, I’ll give my Udacity Secure and Private AI Scholarship Challenge my best shot. […]