BoltzmannEntropy / interviews.aiLinks
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
☆4,708Updated last month
Alternatives and similar repositories for interviews.ai
Users that are interested in interviews.ai are comparing it to the libraries listed below
Sorting:
- https://huyenchip.com/ml-interviews-book/☆4,240Updated 6 months ago
- Pen and paper exercises in machine learning☆2,499Updated last year
- PyTorch tutorials and best practices.☆1,699Updated 6 months ago
- A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth artic…☆2,910Updated 2 years ago
- A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and cod…☆2,244Updated 3 years ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,869Updated 2 years ago
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,376Updated 11 months ago
- The full minitorch student suite.☆2,205Updated last year
- 🧠 A study guide to learn about Transformers☆1,611Updated 2 years ago
- NYU Deep Learning Spring 2021☆1,642Updated last month
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,527Updated 4 months ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,375Updated 6 months ago
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.☆2,174Updated 4 months ago
- Probabilistic Machine Learning: Advanced Topics☆1,494Updated 6 months ago
- A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth articl…☆3,184Updated 2 years ago
- Classical equations and diagrams in machine learning☆7,900Updated last year
- An unofficial styleguide and best practices summary for PyTorch☆1,999Updated 3 years ago
- ☆1,463Updated 3 years ago
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…☆2,163Updated 4 months ago
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆11,516Updated 2 years ago
- Machine Learning Notebooks☆3,412Updated last year
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,598Updated 2 years ago
- Landmark Papers in Machine Learning☆674Updated 2 months ago
- Data science interview questions and answers☆9,554Updated 3 weeks ago
- Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.☆7,573Updated last year
- Code / solutions for Mathematics for Machine Learning (MML Book)☆1,184Updated last month
- This repo contains annotated research papers that I found really good and useful☆2,752Updated last month
- Source for https://fullstackdeeplearning.com☆1,261Updated 5 months ago
- Explanation to key concepts in ML☆8,104Updated 3 months ago
- Machine Learning and Computer Vision Engineer - Technical Interview Questions☆4,141Updated 5 months ago