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gpss18

Gaussian Process and Uncertainty Quantification Summer School 2018

gptutorial

A hands-on tutorial on supervised learning with Gaussian processes

hamiltonian_monte_carlo_talk

Essay on Hamiltonian Monte Carlo in PyMC3

hands-on-markov-models-with-python

Hands on Markov Models with Python, published by Packt

hidden-markov-models-pymc3

Implementation of Hidden Markov Models in pymc3

intro_to_pymc3

Short introduction to Bayesian statistical modelling with PyMC3

introduction_to_pymc3

ipynotebook_machinelearning

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

jupyter_case_studies

Inference case studies in jupyter

justenoughscalaforspark

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

knitr_case_studies

Inference case studies in knitr

learning-probabilistic-graphical-models-in-r

Learning Probabilistic Graphical Models in R

learning-spark

Practical examples of using Apache Spark in several different use cases

lsst-dsfp-session-4

Hierarchical Bayesian Modeling Workbooks using PyStan and PyJAGS: Lessons I taught at the Large Synoptic Survey Telescope Data Science Fellowship Program Session 4

machine-learning-and-data-science

This is a repository which contains all my work and experience with Machine Learning, AI and Data Science.

machine-learning-for-developers

Code repository for Machine Learning for Developers, published by Packt

machine_learning_examples

A collection of machine learning examples and tutorials.

mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

mixture_model_trading_public

ml-recipes

A collection of stand-alone Python machine learning recipes

ml_riskmanagement

Short Course - Applied Machine Learning for Risk Management

modernbayesianworkflow

An example of Modern Bayesian Workflow

montecarlomethodsinfinance

iversity course -- python implementation

montecarloworkshop

Course material for a tutorial on Monte Carlo for uncertainty evaluation with Python

msdemos

Demostration of simple microservices written in Scala using various frameworks

multilevel_modeling

Tutorial on multilevel modeling, using Gelman radon example

notebook

Collection of jupyter notebooks for demonstrating software.

notebooks

notebooks-statistics-and-machinelearning

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

notes-on-causal-inference

Some notes on Causal Inference, with examples in python