Look ahead

# Look ahead
### Machine Learning with R <a href='https://therbootcamp.github.io'> The R Bootcamp @ DHLab </a> <a href='https://therbootcamp.github.io/ML-DHLab/'> </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 2020

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 <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/by-sa.png" height=14 style="vertical-align: middle"/>
 
 <a href="https://therbootcamp.github.io/">
 
 
 www.therbootcamp.com
 
 
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 <a href="https://therbootcamp.github.io/">
 
 Machine Learning with R | November 2020
 
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In 2 days, you have learned about the fundamentals of machine learning!

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<img src="image/schedule.png" height="580" align="center">
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#  Welcome to the Data Revolution

"Machine learning will be the <high>engine of global growth</high>."

[Financial times, July 2018]()

"<high>Fuel of the future</high> - Data is giving rise to a new economy."

[The Economist, May 2017]()

"Wie Big Data die <high>Finanzmärkte verändern</high> könnte"

[NZZ, August 2018]()

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#  Repeating the past

.pull-left45[
### Recidivity risk scores

 <img src="image/risk_score.png" height=347px> 
 from <a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing">propublica.org</a>

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### Empirical evaluation
<a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing">Pro Publica I</a>, 
<a href="https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm">Pro Publica II</a>

<img src="image/risk_score_eval.png" height=300px> 
 from <a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing">propublica.org</a>

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# The end of privacy

"Most technologies have their bright and dark side [...] My personal opinion is that a machine's ability to better understand us would lead to improved consumer experience, products, etc… But imagine that we published a clone of youarewhatyoulike.com that simply predicted which of your friends was gay (or Christian or liberal or HIV-positive, etc); lynches are not unlikely to follow…"

Michal Kosinski, Stanford University <a href="https://www.theguardian.com/world/2014/aug/03/internet-death-privacy-google-facebook-alex-preston" style="font-size:8px">[Full text]</a>

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# Next steps

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1. Practice 
2. Read books 
3. Consult websites 
4. Support & consulting 
5. Upcoming courses 
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<img border="0" alt="W3Schools" src="http://www.theunmanageableemployee.com/wp-content/uploads/2011/07/5cs-stones-cropped-11052730.jpg?w=112">
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# Books

An incomplete list of good books sorted losely by topic.

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# Websites

The web is a great place to learn about R.

Best begin your journey with:

[Google](www.google.com), just be sure to add *r* to the the search query.

Then you will be redirected to one of two pages

[R-bloggers](www.r-bloggers.com) is a website on which R users inform each other on the newest developments. Sign up for newsletter.

[Stackoverflow](www.r-bloggers.com) is a website on which R users exchange problems and solutions to problems. Try post something yourself. You will be amazed by the turnaround.

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.pull-right5[
 
 <a href="https://www.google.com/"><img border="0" alt="W3Schools" src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/google.png" height="100"></a> 
 <a href="https://www.r-bloggers.com/"><img border="0" alt="W3Schools" src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/rbloggers.png" height="105" style="margin-bottom:10px"></a> 
 <a href="https://stackoverflow.com/"><img border="0" alt="W3Schools" src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/stackoverflow.png" height="105"></a>

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# Upcoming courses

<table class="tg" style="cellspacing:0; cellpadding:0; border:none;">
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 <col width="20%">
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 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Einführung in die moderne Datenanalyse mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/0.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>August 28, 2020</high> 
 
 </td>
 <td>
 
 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Explorative Datenanalyse mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/1.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>September 4/5, 2020</high> 
 
 </td>
 <td>
 
 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Statistik mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/2.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>September 25/26, 2020</high> 
 </a>
 
 </td>
 <td>
 
 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Maschinelles Lernen mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/3.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>Oktober 23/24, 2020</high> 
 </a>
 
 </td>
 <td>
 
 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Reporting mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/4.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>November 5/6, 2020</high> 
 </a>
 
 </td>
 </tr>
 
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<img src="image/feedback.png" height=350px></img> 
 from <a href="https://cdn-images-1.medium.com/max/1600/1*5OZNYAfzDZfM1lwJBZEuHQ.png">medium.com</a>

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# Thank you!