zafstojano / ml-interview-questions-and-answersLinks
This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
☆169Updated last year
Alternatives and similar repositories for ml-interview-questions-and-answers
Users that are interested in ml-interview-questions-and-answers are comparing it to the libraries listed below
Sorting:
- AI algorithms☆140Updated last year
- Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps☆262Updated 9 months ago
- ☆52Updated last year
- ☆213Updated 11 months ago
- ☆88Updated 7 months ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆477Updated last year
- A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps requir…☆155Updated 2 years ago
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…☆118Updated 2 weeks ago
- Educational materials on deep learning by Weights & Biases☆638Updated 8 months ago
- A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local c…☆558Updated last week
- This repository contains everything you need to become proficient in ML System Design with Case Studies☆34Updated last year
- Machine Learning for Imbalanced Data, published by Packt☆277Updated last week
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻☆472Updated 6 months ago
- A collection of useful resources for Machine Learning System Design☆70Updated 4 years ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆248Updated last year
- ☆484Updated this week
- Software Architecture for ML engineers☆412Updated 3 years ago
- Deep Learning Fundamentals -- Code material and exercises☆397Updated last year
- Solutions provided to Chip Huyen's Machine Learning Interview Book with GPT☆41Updated last year
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆53Updated 2 years ago
- Everything about LLMs in production.☆75Updated last year
- ☆129Updated last year
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆482Updated 3 months ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆203Updated last year
- Collection of important articles to be treated as a textbook☆803Updated last week
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆295Updated 10 months ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆370Updated 2 years ago
- Preparation for Machine Learning Interview☆187Updated 10 months ago
- Notes from the Latent Space paper club. Follow along or start your own!☆238Updated last year
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆170Updated 2 years ago