mavam / stat-cookbookLinks
The probability and statistics cookbook
☆2,269Updated 2 years ago
Alternatives and similar repositories for stat-cookbook
Users that are interested in stat-cookbook are comparing it to the libraries listed below
Sorting:
- An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017☆2,084Updated 3 weeks ago
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,499Updated 8 years ago
- Instructions for setting up the software on your deep learning machine☆1,976Updated 6 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆903Updated 3 years ago
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,088Updated 2 years ago
- A visual introduction to probability and statistics.☆1,936Updated last year
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,451Updated 7 years ago
- This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…☆1,388Updated 5 years ago
- A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2…☆1,887Updated 2 years ago
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago
- A collection of IPython notebooks covering various topics.☆2,613Updated 4 years ago
- Tutorial material on the scientific Python ecosystem☆3,146Updated 3 weeks ago
- Machine Learning Problem Bible | Problem Set Here >>☆715Updated 5 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,798Updated 4 years ago
- A Course in Machine Learning☆899Updated 2 years ago
- A collection of video resources for machine learning☆1,546Updated 4 years ago
- Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc☆517Updated 4 years ago
- Curated decibans of scientific programming resources in Python.☆988Updated last year
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,194Updated 5 years ago
- simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work☆586Updated 7 years ago
- Plotting library for IPython/Jupyter notebooks☆3,657Updated last week
- Data Science at the Command Line☆3,873Updated last year
- Tutorials on how to use pandas effectively to do data analysis☆1,108Updated 2 years ago
- Learning numerical computing with notebooks for all ages.☆768Updated last year
- Directory of Jupyter notebooks exploring various topics☆316Updated 8 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,592Updated 8 years ago
- A-Paper-A-Week☆944Updated 10 months ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,951Updated last year
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆682Updated 3 years ago
- Evaluation of Deep Learning Frameworks☆2,046Updated 8 years ago