chiphuyen / machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
☆9,260Updated last year
Alternatives and similar repositories for machine-learning-systems-design:
Users that are interested in machine-learning-systems-design are comparing it to the libraries listed below
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆10,086Updated last year
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,392Updated last year
- https://huyenchip.com/ml-interviews-book/☆3,543Updated 7 months ago
- Data science interview questions and answers☆9,090Updated 4 months ago
- Machine Learning and Computer Vision Engineer - Technical Interview Questions☆3,181Updated last week
- This repo is meant to serve as a guide for Machine Learning/AI technical interviews.☆5,270Updated 10 months ago
- Classical equations and diagrams in machine learning☆7,526Updated 5 months ago
- A curated list of references for MLOps☆12,751Updated last month
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,287Updated 3 months ago
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆2,451Updated 6 months ago
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,318Updated 2 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆17,830Updated 2 weeks ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,835Updated last year
- This repository is to prepare for Machine Learning interviews.☆1,501Updated 5 years ago
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆27,540Updated 5 months ago
- Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.☆3,548Updated 5 years ago
- A repo for data science related questions and answers☆2,419Updated 2 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆13,593Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆37,974Updated 5 months ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆17,834Updated 4 years ago
- This repo contains annotated research papers that I found really good and useful☆2,710Updated 2 weeks ago
- Answers to 120 commonly asked data science interview questions.☆3,749Updated 11 months ago
- Minimal and clean examples of machine learning algorithms implementations☆10,770Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,433Updated 2 months ago
- Machine learning glossary☆3,034Updated 5 months ago
- A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep☆3,778Updated 4 months ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,428Updated 4 years ago
- Lab materials for the Full Stack Deep Learning Course☆1,207Updated 2 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,014Updated 5 months ago
- MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆13,056Updated last year