ml-from-scratch

Todo: Merge https://github.com/akashsonowal/ml-coding and https://github.com/akashsonowal/interview-prep to this repo

Coding for Data Scientists, ML Engineers, Research Engineers

Note: This is purely a learning experiment

1. ML & Optimization Algorithms (handson theory)

Python3 + C/C++ => Standard solution (framework based), Basic Implementation, Optimized Implementation

2. ML Utility Functions

=> Spectrogram, Tokenization, Position Encodings, Normalization, Loss Functions, Optimizers etc

3. Distributed Algorithms

=> distributed ML algorithms implementations

4. Mini Case Studies

=> Live Assist basic app, finetune a VAD etc.