Wrap up

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# Wrap up
### Applied Machine Learning with R <a href='https://therbootcamp.github.io'> The R Bootcamp @ AMLD </a> <a href='https://therbootcamp.github.io/AML_2020AMLD/'> </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>
### January 2020

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 Applied Machine Learning with R @ AMLD | January 2020
 
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# Hello Machine Learners!

You've got the essentials of Machine Learning covered!

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# Books

Here is a very incomplete series of good books. They are ordered by complexity, beginning with user-friendly books on <high>machine learning</high> and <high>data science</high> in R and ending with books focusing on the more <high>advanced topics of the R language</high>.

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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.

[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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 <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> <br2>
 <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

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 <a class="project-link" href="https://therbootcamp.github.io/en/#courses" align="center">
 Explorative Data Analysis with R 
 
 <img src="https://therbootcamp.github.io/img/courses/1.png" height="230px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>2 days, February 14/15, 2020</high> 
 
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 <a class="project-link" href="https://therbootcamp.github.io/en/#courses" align="center">
 Statistics with R 
 
 <img src="https://therbootcamp.github.io/img/courses/2.png" height="230px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>2 days, March 13/14, 2020</high> 
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 <a class="project-link" href="https://therbootcamp.github.io/en/#courses" align="center">
 Machine Learning with R 
 
 <img src="https://therbootcamp.github.io/img/courses/3.png" height="230px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>2 days, May 15/16, 2020</high> 
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 <a class="project-link" href="https://therbootcamp.github.io/en/#courses" align="center">
 Reporting with R 
 
 <img src="https://therbootcamp.github.io/img/courses/4.png" height="230px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>2 days, June 5/6, 2020</high> 
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# Please give us feedback

<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!
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