https://github.com/akashsonowal/interview-prep

Crack SWE (ML) / DS MAANG Interviews
https://github.com/akashsonowal/interview-prep

algorithms data-structures distributed-systems jax large-scale-machine-learning ml-engineering mlops python pytorch tensorflow

Last synced: 3 months ago
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Crack SWE (ML) / DS MAANG Interviews

• Host: GitHub
• URL: https://github.com/akashsonowal/interview-prep
• Owner: akashsonowal
• License: mit
• Created: 2022-09-07T01:39:22.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2025-05-27T05:12:22.000Z (about 1 year ago)
• Last Synced: 2025-05-27T06:18:53.893Z (about 1 year ago)
• Topics: algorithms, data-structures, distributed-systems, jax, large-scale-machine-learning, ml-engineering, mlops, python, pytorch, tensorflow
• Language: Python
• Homepage: https://akashsonowal.github.io/mle-foundations/
• Size: 1.03 MB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 7
• Metadata Files:
  • Readme: readme.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

README

          
# Crack SWE (ML) / DS MAANG Interviews

Python, Golang

## Coding

1. DSA

2. Data Processing and Manipulation (w/Python and SQL)

3. Math and Statistics

4. ML Functions

5. ML Applications

## Applied Statistics (w/ Probability)

1. Make the shortest and most concise notes

2. Top Questions

## Product Sense and AB Testing

1. Make the shortest and most concise notes

2. Top Questions

## Causal Inference

1. Make the shortest and most concise notes

2. Top Questions

## ML and MLOps

1. ML Crash Course

2. Large Scale ML

   

## System Design

1. ML System Design

2. Large Scale System Design (System Expert Course)

## Basic SWE

1. OOPs

2. LLD (Object Oriented Design)

3. Infrastructure (Infra Expert Course)