emilmont / Artificial-Intelligence-and-Machine-LearningLinks
Algorithm implementations and homework solutions for the Stanford's online courses
☆548Updated 12 years ago
Alternatives and similar repositories for Artificial-Intelligence-and-Machine-Learning
Users that are interested in Artificial-Intelligence-and-Machine-Learning are comparing it to the libraries listed below
Sorting:
- machine learning course programming exercise☆527Updated 13 years ago
- the best machine learning tutorials on the web☆474Updated 14 years ago
- Exercises for the Stanford/Coursera Machine Learning Class☆248Updated 13 years ago
- simple artificial intelligence utilities☆990Updated 2 years ago
- Python coded examples and documentation of machine learning algorithms.☆609Updated 5 years ago
- Machine learning programming exercises☆315Updated 8 years ago
- ☆472Updated last year
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆396Updated 6 years ago
- Lecture notes and assignments for coursera machine learning class☆95Updated 12 years ago
- machine learning and deep learning tutorials, articles and other resources☆243Updated 5 years ago
- Andrew Ng's Coursera ML coding exercises and notes☆123Updated 11 years ago
- Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.☆223Updated 7 years ago
- Machine Learning with Coursera☆385Updated 2 months ago
- Exercises for my tutorials on Theano☆685Updated 9 years ago
- This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning alg…☆299Updated 5 years ago
- ☆196Updated 12 years ago
- ☆156Updated 3 years ago
- Machine Learning Tutorials in Python☆198Updated 4 years ago
- A collection of tutorials on neural networks, using Theano☆220Updated 2 years ago
- Codes for weekly challenges on Deep Learning by Siraj☆266Updated 3 years ago
- Deep learning in Python☆1,380Updated 4 years ago
- Short tutorial for TensorFlow, designed to be presented in-person☆299Updated 9 years ago
- Code companion to the O'Reilly "Fundamentals of Deep Learning" book☆665Updated 3 years ago
- Udacity Machine Learning Engineer Nanodegree☆32Updated 9 years ago
- This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube☆121Updated 5 years ago
- Scikit-learn tutorial at SciPy2016☆518Updated 6 years ago
- This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube☆192Updated last year
- Example demonstrating how gradient descent may be used to solve a linear regression problem☆546Updated 2 years ago
- Completed assignments from Coursera Machine Learning course - March 2014☆111Updated 8 years ago
- A Wiki containing helpful information for new and existing students of the Machine Learning Nanodegree at Udacity. Written by students of…☆221Updated 7 years ago