<div dir="ltr"><div class="gmail_default" style="font-size:small"><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Dear colleagues,</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">it is our pleasure to announce that the book</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">Metalearning:<br>
Applications to Automated Machine Learning and Data Mining,</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">is now Open Access available:</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><a href="https://link.springer.com/book/10.1007/978-3-030-67024-5" target="_blank"><span style="font-size:12pt;font-family:Arial,sans-serif">https://link.springer.com/book/10.1007/978-3-030-67024-5</span></a><span style="font-size:12pt;font-family:Arial,sans-serif"></span></p>

<p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">This book offers a comprehensive and thorough
introduction to almost all aspects of metalearning and AutoML, covering the
basic concepts and architecture, evaluation, datasets, hyperparameter optimization,
ensembles and workflows, and also how this knowledge can be used to select,
combine, compose, adapt and configure both algorithms and models to yield
faster and better solutions to data mining and data science problems. It can
thus help developers to develop systems that can improve themselves through
experience.</span></p>

<p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">As one of the fastest-growing areas of research in
machine learning, metalearning studies principled methods to obtain efficient
models and solutions by adapting machine learning and data mining processes.
This adaptation usually exploits information from past experience on other
tasks and the adaptive processes can involve machine learning approaches.
  As a related area to metalearning and a hot topic currently,
automated machine learning (AutoML) is concerned with automating the machine
learning processes. Metalearning and AutoML can help AI learn to control the
application of different learning methods and acquire new solutions faster
without unnecessary interventions from the user.</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">We hope that this book is informative for both you and your students. In
case you have any questions or feedback, don't hesitate to reach out.</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Best,</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Pavel Brazdil,</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Jan N. van Rijn,</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Carlos Soares,</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Joaquin Vanschoren</span></p></div></div>