Chapter 10: Deep Learning
Neural networks, originally conceived in the 1940s, have grown from a modest idea about mimicking brain functions into the powerhouse behind modern AI. Today...
Hello There,
My name is Sriram, and I study Data Science and AI. I'm currently working on my Master's Thesis, teaching a Neural Network Physics @ CBS :) More formally, "Physics Informed Machine Learning and Uncertainty Quantification for Crop Yield Estimation"
I consider myself a detective 🕵🏽♂️, using statistical analysis powered by computer programming to uncover hidden insights from the messy world of data.
In a past life I was training to become a Particle Physicist. I've since traded that in for PyTorch docs and cato themed browser modifications. I lift weights during the week and run to (or up) the nearest hill on weekends ⛰️ Your friendly neighbourhood geek-footballer-nature lover-rapper-...
If I could describe my state-of-mind in one sentence, it would be: constantly biting off more than i can chew. More concretely, here's what I'm upto at the moment:
- Speedrunning world models research 🌍
- Building Jarvis to help with the job search 💼
- Reading, reading, and more reading 📚
Recent posts
Chapter 9: Support Vector Machines
A simple linear classifier
Chapter 8: Tree-based Methods
From linear regression to smoothing splines, all the algorithms we have studied so far make some assumption about the functional relationship between the pre...
Chapter 7: Moving Beyond Linearity
A pool shaped like a sine wave ; non-linearity! (Source : Unsplash)
Chapter 6: Linear Model Selection & Regularisation
So far we have only considered cases when the number of observations is much more than the number of predictors, i.e. n»p. And it was a good place to get sta...