Boook club “Hands-On Machine Learning with R” #5 - Chp7 Splines - Chp 8 KNN
Details
Join us for the FIFTH meetup for the online boookclub discussing ‘Hands-On Machine Learning with R’ by Bradley Boehmke and Brandon Greenwell. On Monday November 7, we discuss Chapter 7 Multivariate Adaptive Regression Splines and Chapter 8 K-Nearest Neighbors.
Multivariate adaptive regression splines (MARS) is an algorithm that automatically creates a piecewise linear model. The KNN algorithm identifies the k observations most similar to a new value and then uses the average response value (regression) or the most common class (classification) of those k observations as the predicted output for the new value.
These topics will be presented by Elena Dudukina, from the R-Ladies community :). Elena is a clinical specialist and a PhD candidate (awaiting defense) at the Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital. She is interested in pharmacoepidemiology, especially drug utilization and safety in pregnancy, women’s health and she is also passionate about causal inference methods and R.
This boook club:
For this boook club we - the Den Bosch and Utrecht chapters of R Ladies - are joining forces. We will alternate hosting the meetups. In +- 10 meetings (probably more :) ) , we will work through all the chapters in the book together. We are doing this boookclub, 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, as for example Marianna presented chapter 6, and Elena chapter 7 and 8! We are of course available to help. If you’re not comfortable presenting, just listening is also okay.
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. The password will be sent to you via e-mail before the meeting.
- 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. For the slides of our previous meetings, see https://github.com/rladiesnl/book_club_handsonML.
