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Name: Matt Rosinski

Type: User

Bio: Bayesian stats, causal inference and decision analysis.

Twitter: machinatoonist

Blog: machinatoonist.com

Hi, I'm Matt

I'm a data scientist who is passionate about learning and teaching others. When I'm not coding you can find me running, cooking or playing Go.

💼 Where I Work

I work at Coles Group in Australia as a Senior Data Scientist

✏️ Left School With

PhD in Chemical Engineering and Grad Certificate in Applied Finance and Investment

💻 Currently Working On

Understanding the Tidyverse References

Otherverses

UC Business Analytics in R
The Carpentries
Building data visualisations and models with the Tidymodels and Tidyverse meta-packages. Every Tuesday I check out the latest data posted via the TidyTuesday package.

☕ Finished Working On

Bayesian Linear Regression and Classification in Python
Natural Language Processing with Transformers
Deep Learning for Coders with fastai and PyTorch.
Tidy Modeling with R
Coursera - Natural Language Processing with Classification and Vector Spaces
Practical Data Science Specialization, learning how to combine my machine learning knowledge with AWS.
Coursera - Building Cloud Computing Solutions as Scale
edX Stanford Online - Statistical Learning

💡 Future Learning Possibilities:

Applied Predictive Modeling, with the book by Max Kuhn and Kjell Johnson Applied Predictive Modeling.
Supply chain optimization through simulation.
Internet of things
Machine Learning Engineering for Production MLOps Specialization.
Julia language with an MIT course.
Discrete Optimization Algorithms.
Design of Computer Programs - Peter Norvig
Leveraging Shiny Extensions
Outstanding User Interfaces with Shiny
Javascript for R
Engineering Production Grade Shiny Apps
Happy git with R
Having a look at the Friday challenges at 538 Riddler

Books On My Reading List

Statistical Rethinking.
[Bayesian Data Analysis]

Free Online Books

The Full Bookdown Catalog

Information Honeypots

Data Sources

💬 Ask Me About:

Time Series Forecasting and Recommendation Systems using Tidymodels and Shiny dashboards.
Natural language processing for text generation and classification

Matt Rosinski's Projects

free_r_tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.

gcp-flask-ml-deploy

This is a project to auto-deploy with an ML payload

github-slideshow

A robot powered training repository :robot:

gp_regression

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

hexmake

A Shiny App for Making Hex Stickers.

hugosite

this is a Hugo continuous delivery site

inference_tools

Practice with the infer package

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

learnbayes-justin-bois

Live coding session with Justin Bois on Aug 10th 2023

learning-log

Streamlit app to track my learning

machinatoonist

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine_learning_examples

A collection of machine learning examples and tutorials.

makegif

Tools to make and modify gifs

makemore

An autoregressive character-level language model for making more things

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

models

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

natural-language-processing-specialization

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

nlp-with-transformers

Jupyter notebooks for the Natural Language Processing with Transformers book

nn-zero-to-hero

Neural Networks: Zero to Hero

ordinal-regression

private development repo for learning ordinal regression topics

pandas_cub

Learn how to build a data analysis library from scratch

people-analytics-rstats

practical-data-science

This repo contains materials from the Deeplearning.AI's Practical Data Science Specialization offered by Coursera.

practical-python

Practical Python Programming (course by @dabeaz)

pragmatic-git-course

Up and Running with Git: A pragmatic, UI-based Approach Course Repo

prompt-code

Calls ChatGPT API to return suggest text

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pymc-examples

Examples of PyMC models, including a library of Jupyter notebooks.

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