graphenessl / mit-ai-6034
MIT 6.034 Artificial Intelligence
☆33Updated 6 years ago
Alternatives and similar repositories for mit-ai-6034:
Users that are interested in mit-ai-6034 are comparing it to the libraries listed below
- Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing an…☆79Updated 6 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆150Updated 3 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- Projects for Udacity's Machine Learning Engineer Nanodegree☆31Updated 8 years ago
- Udacity Machine Learning Engineer Nanodegree☆31Updated 8 years ago
- Code files added☆99Updated last year
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆20Updated 6 years ago
- Collection of resources for self-studying mathematics and machine learning.☆52Updated 3 years ago
- Assignments for University of Washington Machine Learning Specialization through Coursera☆45Updated 6 years ago
- Udacity's Machine Learning Nanodegree project files and notes.☆253Updated 8 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Lab Assignments for MIT 6-034 ( Artificial Intelligence )☆15Updated 9 years ago
- Solutions for Machine Learning Specialization MOOC offered by University of Washington.☆16Updated 7 years ago
- The source code for 'Data Structures and Algorithms in Python' by Goodrich, Tamassia, Goldwasser☆281Updated 2 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆133Updated 4 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆147Updated 8 years ago
- This repo holds my solutions (in python) for the programming assignments of the Coursera course Algorithms - Design and Analysis (Stanfor…☆58Updated 4 years ago
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆76Updated 6 years ago
- Generic codes related to NLP☆84Updated 6 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆285Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization☆150Updated 4 years ago
- project solutions to Udacity's Machine Learning Nanodegree☆22Updated 8 years ago
- A repo with tutorials for algorithms from scratch☆100Updated 6 years ago
- This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube☆49Updated 7 years ago
- Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma☆122Updated 7 years ago
- Algorithms I learned from Stanford's Algorithms: Design and Analysis☆78Updated 4 years ago
- my solutions to the exercises in book Data Structures and Algorithms in Python☆77Updated 7 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆259Updated 8 years ago
- medium blog supplementaries | Backprop | Resnet & ResNext | RNN |☆73Updated 3 years ago