Introduction to Statistical Learning
I’m up to Chapter 6 in ISLR
Would Elements of Statistical Learning be my next book? I’ve seen the Bishop book highly recommended too.
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
This collection of Jupyter notebooks that reproduces graphics and implements algorithms from the book could be a nice supplementary resource https://github.com/maitbayev/the-elements-of-statistical-lea...
Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.
Transformers as Support Vector Machines
1 project | news.ycombinator.com | 3 Sep 2023
Planning to get a laptop for ML/DL, is this good enough at the price point or are there better options at/below this price point?
1 project | /r/developersIndia | 17 Jun 2023
Andrew Ng's Machine Learning Specialization or Introduction to Statistical Learning? For someone who's comfortable with mathematics.
1 project | /r/learnmachinelearning | 28 May 2023
WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
1 project | /r/raspberry_pi | 21 May 2023
[P] Deterministic Objective Bayesian Analysis for Spatial Models
1 project | /r/MachineLearning | 15 May 2023