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Now that summer is coming to an end, we thought it would be fun to work through another book together. This time, we have chosen ‘Hands-On Machine Learning with R’ by Bradley Boehmke and Brandon Greenwell.
Nowadays you hear about machine learning all the time. This book is a nice way to get familiar with the basics of machine learning in R without going in too much detail.

For this book club we - the Den Bosch and Utrecht chapters of R ladies - are joining forces. In +- 10 meetings, we will work through all the chapters in the book together. We are doing this bookclub, because we like to learn together. It is not the case presenters are the experts on the matter. To make this a group effort, the idea is that all participants take turns in presenting chapters. If you’re not comfortable presenting, just listening is also okay.

On Monday September 26, we do Chapter 3 and 4, ‘Feature & Target Engineering’ and ‘Linear Regression’. If you cannot make it this time, feel free to join in on one of the subsequent meetings.

For who:
- People who want to take their first steps into machine learning
- Some prior knowledge on R programming will be helpful. As the authors of the book themselves mention: “This book is not meant to be an introduction to R or to programming in general; as we assume the reader has familiarity with the R language to include defining functions, managing R objects, controlling the flow of a program, and other basic tasks.”

What to expect:
- Presentations summarising the key points on each topic of the book
- Putting the theory to practice by going through exercises together
- Room to discuss questions and other thoughts

Whereabouts:
- Meet every 2 weeks via Zoom
- We meet every second Monday, from 7 - 8.30 pm
- It is not necessary to read the chapters in advance, but feel free to do so.

R-Ladies is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. See the code of conduct.

The book can be found at https://bradleyboehmke.github.io/HOML/. It is also available in print.

Machine Learning
Data Science
Applied Statistics
Programming in R

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