Welcome

# Welcome
### Applied Machine Learning with R <a href='https://therbootcamp.github.io'> The R Bootcamp @ AMLD </a> <a href='https://therbootcamp.github.io/AML_2021AMLD/'> </a>  <a href='https://therbootcamp.github.io'> </a>  <a href='mailto:therbootcamp@gmail.com'> </a>  <a href='https://www.linkedin.com/company/basel-r-bootcamp/'> </a>
### November 2021

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 <a href="https://therbootcamp.github.io/">
 
 
 www.therbootcamp.com
 
 
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 <a href="https://therbootcamp.github.io/">
 
 Applied Machine Learning with R @ AMLD | November 2021
 
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# Slides and Materials

Find our Materials under:

<a href="https://therbootcamp.github.io/AML_2021AMLD/">therbootcamp.com/AML_2021AMLD</a>

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# Aim

> The aim of this workshop is enable you to thoughtfully implement supervised machine learning methods, using R and tidymodels, to make data-driven decisions.

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# What is machine learning?

Machine learning is...

...a <high>field of artificial intelligence</high>...

...that uses <high>statistical techniques</high>...

...to allow computer systems to <high>"learn"</high>,...

...i.e., to progressively <high>improve performance</high> on a specific task...

...from small or large amounts of <high>data</high>,...

....<high>without being explicitly programmed</high>....

....with the goal to <high>discover structure</high> or </high>improve decision making and predictions</high>.

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<img src="image/ml_robot.jpg" height=380px> 
from <a href="https://medium.com/@dkwok94/machine-learning-for-my-grandma-ca242e97ef62">medium.com</a>

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# Types of machine learning tasks

<ul>
 <li class="m1">There are many types of machine learning tasks, each of which call for different models.</li>
 <li class="m2"><high>We will focus on supervised machine learning</high>.</li>
</ul>

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<img src="image/mltypes.png" height=500px> 
from <a href="image/mltypes.png">amazonaws.com</a>

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# Supervised learning

<ul>
 <li class="m1"><high>The <high>dominant type</high> of machine learning.</li>
 <li class="m2">Supervised learning uses <high>labeled data</high> to learn <high>a model</high> that relates the criterion to the features.</li>
</ul>

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<img src="image/supervised.png"> 

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# 2 types of supervised problems

There are two types of supervised learning problems typically can be approached <high>using the same model</high>.

Regression

Regression problems involve the <high>prediction of a quantitative feature</high>.

E.g., predicting the cholesterol level as a function of age.

Classification

Classification problems involve the <high>prediction of a categorical feature</high>.

E.g., predicting the origin of chest pain as a function of age and heart attack risk.

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# Three supervised models

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# ML in R

<ul>
 <li class="m1">R has advanced tremendously with respect to ML.</li>
 <li class="m2">There exist <high>powerful and user-friendly</high> tools for all ML steps and algorithms.</li>
</ul>

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# tidymodels

<ul>
 <li class="m1"><mono>tidymodels</mono> is a new meta-package for tidy ML in R.</li>
 <li class="m2">Multiple packages span every important step of ML.</li>
</ul>

<img src="https://www.tidymodels.org/images/tidymodels.png" width=180px> 
from <a href="https://www.tidymodels.org/packages/">tidymodels.org</a>

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# Schedule

<ul>
 <li class="m1"><high>Schedule</high>
 
 <ul class="level">
 <li>Intro to R</li>
 <li>3 blocks on ML with R</li>
 </ul>
 </li>
 <li class="m2"><high>Block</high>
 
 <ul class="level">
 <li>Slide-based introduction</li>
 <li>Many exercises</li>
 </ul>
 </li>
</ul>

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# Introduction

<ul>
 <li class="m1"><high>Introduction</high>
 
 <ul class="level">
 <li>30-45 min</li>
 <li>Concepts & Code examples</li>
 </ul>
 </li>
 <li class="m2"><high>Materials</high>
 
 <ul class="level">
 <li>Permanently <a href="https://therbootcamp.github.io/EDA_2019CSS/">available online</a></li>
 <li>PDFs will be available later</li>
 </ul>
 </li>
</ul>

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<img src="https://img.freepik.com/free-vector/business-presentation_23-2147511785.jpg?size=338&ext=jpg" style="width:250px">
 
from <a href="www.Freepik.com">Freepik.com</a>

<img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR5DZ7eRkgxeFuEMEtuVC9YHz2v0STxeQ9YJyW2T3PbXGIci_2Lig" style="width:250px">
 
from <a href="www.Freepik.com">Freepik.com</a>

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# Practicals

<ul>
 <li class="m1"><high>Write your own scripts</high>
 
 <ul class="level">
 <li>20 - 50 tasks</li>
 <li>Increasingly getting difficult.</li>
 <li>Follow your own tempo.</li>
 <li>Answers are added later.</li>
 </ul>
 </li>
</ul>

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Example: <a href="https://therbootcamp.github.io/AML_2020AMLD/_sessions/Fitting/Fitting_practical.html">Fitting Practical </a>

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<h1><a href=https://therbootcamp.github.io/AML_2021AMLD/index.html>Schedule</a></h1>