Machine Learning & Deep Learning Resources
I created this repository to collect links that I find useful in the field of machine learning and deep learning. I will update regularly!
Useful Books
- Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
- Hands On Machine Learning with Scikit Learn and TensorFlow
- Dive into Deep Learning
- Deep Learning with Python
- Pattern Recognition and Machine Learning
- Natural Language Processing with Python
- Data Mining: Practical Machine Learning Tools and Techniques
- Machine Learning in Action
- Foundations of Machine Learning
- Python Data Science Handbook
- Understanding Machine Learning: From Theory to Algorithms
- R for Data Science (Turkish)
- Forecasting: Principles and Practice
- Deep Learning in Computer Vision with Prof. Kosta Derpanis
Cheat Sheets for Technical Interviews
- SQL Basics Cheat Sheet
- SQL Cheat Sheet
- Python Cheat Sheet
- Comprehensive Python Cheatsheet
- RStudio Cheatsheets
- Data Structures Reference
- A Comprehensive Statistics Cheat Sheet for Data Science Interviews
- Statistics Cheat Sheet
- Your Ultimate Data Science Statistics & Mathematics Cheat Sheet
Interview Resources
- What is a data scientist's career path?
- What are the skills needed for a data scientist job?
- How do I learn machine learning?
- Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI
- My Amazon Data Scientist Interview Questions — and Answers!
- Data Scientist Job Interview Prep: 7 Steps for Analytics & Inference Track
- Google Data Scientist Interview Questions (Step-by-Step Solutions!)
- Spotify data scientist interview case study
- NLP Interview Questions
- Machine Learning Interview Questions & Answers for Data Scientists
- Deep Learning Interview Questions & Answers for Data Scientists
- Python Interview Questions & Answers for Data Scientists
- 2024 Guide: 23 Data Science Case Study Interview Questions (with Solutions)
Youtube Channels
- DeepLearningAI
- NYU Deep Learning
- Deep Learning for Computer Vision
- Two Minute Papers
- Applied Machine Learning
- sentdex
- StatQuest with Josh Starmer
- Yannic Kilcher
- Chai Time Data Science
- Edan Meyer
- AI Coffee Break with Letitia
- Mert Cobanov (Turkish)
- Mısra Turp
- Stanford CS224U: Natural Language Understanding
- CMU Advanced NLP 2022
- CMU Multilingual NLP 2022
- UMass CS685: Advanced Natural Language Processing