JontySinai / PythonAI
An exploration of artificial intelligence, with the help of math, history and Python
☆14Updated 7 years ago
Alternatives and similar repositories for PythonAI:
Users that are interested in PythonAI are comparing it to the libraries listed below
- Additional Material for the MOOC on Data Science for Environmental Modelling and Renewables☆15Updated 5 years ago
- ☆14Updated 7 years ago
- legend☆199Updated last year
- website, lectures, and other material for Columbia University course "data: past, present, and future"☆181Updated last month
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2018.☆57Updated 5 years ago
- David Mackay's book review and problem solvings and own python codes, mathematica files☆56Updated 7 years ago
- (Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills☆68Updated 10 months ago
- Class Applied Deep Learning - Summer 2018☆33Updated 6 years ago
- A collection of notebooks of my Machine Learning class written in python 3☆44Updated 6 years ago
- Introduction to Probability and Statistics☆56Updated 2 years ago
- Notes from Introduction to Statistical Learning☆114Updated 7 years ago
- ☆237Updated 6 years ago
- Research Environment to play around with Algorithms and Data (Structures)☆55Updated 4 years ago
- ☆342Updated 4 years ago
- Tutorial: Bayesian Statistical Analysis in Python☆316Updated 5 years ago
- Deep Learning Tutorial notes and code. See the wiki for more info.☆70Updated 9 years ago
- List of datasets to apply stats/machine learning/technology to the world of social good.☆238Updated 4 years ago
- Epidemic Modeling for Everyone☆283Updated 8 months ago
- Machine learning models and utilities for exoplanet science.☆296Updated 2 years ago
- social networks from novels☆76Updated 6 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆408Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 2 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆525Updated 5 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆897Updated 3 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆555Updated last year
- A Visual Exploration of Gaussian Processes☆102Updated 2 years ago
- my submissions for Siraj Raval's weekly challenges from The Math of Intelligence course.☆68Updated 7 years ago
- Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC☆95Updated 5 years ago