soulmachine / machine-learning-cheat-sheetLinks
Classical equations and diagrams in machine learning
☆7,751Updated 10 months ago
Alternatives and similar repositories for machine-learning-cheat-sheet
Users that are interested in machine-learning-cheat-sheet are comparing it to the libraries listed below
Sorting:
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆11,044Updated last year
- A curated list of references for MLOps☆13,187Updated 7 months ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,273Updated 5 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,525Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,595Updated 8 months ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆9,460Updated 2 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,804Updated 7 months ago
- Machine Learning and Computer Vision Engineer - Technical Interview Questions☆3,756Updated last month
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,294Updated last year
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,594Updated 5 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,365Updated 8 months ago
- NYU Deep Learning Spring 2020☆6,763Updated last week
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆27,530Updated last year
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,257Updated 2 months ago
- https://huyenchip.com/ml-interviews-book/☆3,760Updated 3 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,945Updated 5 months ago
- machine learning and deep learning tutorials, articles and other resources☆16,313Updated last year
- Companion webpage to the book "Mathematics For Machine Learning"☆14,226Updated 3 months ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,473Updated 2 weeks ago
- The most cited deep learning papers☆25,875Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆39,740Updated 10 months ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,327Updated 2 years ago
- System design patterns for machine learning☆2,667Updated 3 years ago
- Minimal and clean examples of machine learning algorithms implementations☆10,856Updated last week
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,452Updated last year
- Book about interpretable machine learning☆4,999Updated 2 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,059Updated last week
- ☆7,792Updated 9 months ago
- A collection of various deep learning architectures, models, and tips☆17,086Updated last year
- Statsmodels: statistical modeling and econometrics in Python☆10,741Updated last week