Tidymodels, Virtually

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# Tidymodels, Virtually

## A Short Course

### Alison Hill

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#

https://tmv.netlify.app/site/

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## .big-text[Hello.]

???

Hello- I'm so happy you could join us today.

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### Alison Hill

[ @apreshill](https://github.com/apreshill) 
[ @apreshill](https://twitter.com/apreshill) 
[ alison.rbind.io](https://alison.rbind.io)

???

My name is Alison Hill, and I'm a data scientist and professional educator at RStudio.

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# What is machine learning?

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.footnote[https://medium.com/tmobile-tech/small-data-big-value-f783ceca4fdb]

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# What is machine learning?

![](https://imgs.xkcd.com/comics/machine_learning.png )

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# Types of Machine Learning

Supervised

Unsupervised

Reinforcement

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.footnote[Credit: <https://vas3k.com/blog/machine_learning/>]

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# Examples of Supervised Learning

Spam detection

Medical diagnosis

Ad click prediction

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# Two modes

.pull-left[

## Classification

Are you under a stay-at-home order?

]

.pull-left[

## Regression

How long has your state had stay-at-home orders in place?
]

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# Two cultures

.pull-left[

### Statistics
]

.pull-right[

### Machine Learning
]

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# Quiz

## Which is which?

.pull-left[

model first

inference emphasis
]

.pull-right[

data first

prediction emphasis
]

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# Quiz

## Which is which?

.pull-left[

model first

inference emphasis

### Statistics
]

.pull-right[

data first

prediction emphasis

### Machine Learning
]

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# Statistics

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> *"Statisticians, like artists, have the bad habit of falling in love with their models."*
>
> &mdash; George Box

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# Predictive modeling

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# Schedule for Today

Build a model

Build better workflows

Tune better models

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# tidymodels

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```r
library(tidymodels)
## Warning: package 'tidymodels' was built under R version 3.6.2
## ── Attaching packages ────────────────────────────────────────── tidymodels 0.1.1 ──
## ✓ broom     0.7.0      ✓ recipes   0.1.13
## ✓ dials     0.0.8      ✓ rsample   0.0.7 
## ✓ dplyr     1.0.2      ✓ tibble    3.0.3 
## ✓ ggplot2   3.3.2      ✓ tidyr     1.1.1 
## ✓ infer     0.5.3      ✓ tune      0.1.1 
## ✓ modeldata 0.0.2      ✓ workflows 0.1.3 
## ✓ parsnip   0.1.3      ✓ yardstick 0.0.7 
## ✓ purrr     0.3.4
## Warning: package 'broom' was built under R version 3.6.2
## Warning: package 'dials' was built under R version 3.6.2
## Warning: package 'scales' was built under R version 3.6.2
## Warning: package 'dplyr' was built under R version 3.6.2
## Warning: package 'ggplot2' was built under R version 3.6.2
## Warning: package 'infer' was built under R version 3.6.2
## Warning: package 'modeldata' was built under R version 3.6.2
## Warning: package 'parsnip' was built under R version 3.6.2
## Warning: package 'purrr' was built under R version 3.6.2
## Warning: package 'recipes' was built under R version 3.6.2
## Warning: package 'rsample' was built under R version 3.6.2
## Warning: package 'tibble' was built under R version 3.6.2
## Warning: package 'tidyr' was built under R version 3.6.2
## Warning: package 'tune' was built under R version 3.6.2
## Warning: package 'workflows' was built under R version 3.6.2
## Warning: package 'yardstick' was built under R version 3.6.2
## ── Conflicts ───────────────────────────────────────────── tidymodels_conflicts() ──
## x purrr::discard() masks scales::discard()
## x dplyr::filter()  masks stats::filter()
## x dplyr::lag()     masks stats::lag()
## x recipes::step()  masks stats::step()
```

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# To the workshop! 🚀

https://tmv.netlify.app/site/

http://bit.ly/tmv-rmed2020