intro_slides.Rmd

---
title: 'Introduction to machine learning'
author: Andrew Parnell \newline \texttt{andrew.parnell@mu.ie}   \newline 
  
  \vspace{1cm}
  \newline \includegraphics[width=3cm]{img/i-form-logo.png}
  \newline \vspace{1cm}
  https://andrewcparnell.github.io/intro_to_ml 
output:
  beamer_presentation:
    includes:
      in_header: header.tex
classoption: "aspectratio=169"
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(dev = 'pdf',  messages = FALSE, fig.align = 'center')
```

## The I-Form training schedule

  1. **08.01.21**, 10am-12.30pm. Introduction to statistical and machine learning. Andrew Parnell
  2. **15.01.21**, 10am-12.30pm. Factorial designs and beyond. Mimi Zhang
  3. **15.01.21**, 2-4.30pm. Adaptive and Bayesian design. Triona Ryan
  4. **22.01.21**, 10am-12.30pm. Image & Video analysis part 1. Annalina Caputo
  5. **29.01.21**, 10am-12.30pm. Time Series Analysis. Padraig Cunningham
  6. **05.02.21**, 10am-12.30pm. Image/Video analysis part 2. Alessandra Mileo
  7. **12.02.21**, 10am-12.30pm. CAx Analysis. Abraham George/Nikos Papakostas
  8. **19.02.21**, 10am-12.30pm. Code surrogates and emulation with Gaussian Processes. Andrew Parnell