This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided. Prerequisites: D-Lab’s Python Fundamentals introductory series or equivalent knowledge. Workshop materials: https://github.com/dlab-berkeley/Python-Machine-Learning-Fundamentals Software Requirements: Installation Instructions for Python Anaconda Is Python Not working on your laptop? Attend the workshop anyway, we can provide you with a cloud-based solution until you figure out the problems with your local installation.

Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping vector data, which encodes location as points, lines and polygons. Part I: Core concepts, vector data, and plotting Basic geospatial concepts Basic vector data Geospatial data structures (the sf package) Basic plotting (base::plot and the ggplot3 package) Managing coordinate reference systems (CRS) Advanced plotting (the tmap package) Map overlays Part II: Spatial analysis Spatial measurement queries Spatial relationship queries Buffer analysis Spatial and non-spatial joins Aggregation Continued mapping practice Prerequisites: D-Lab’s R Fundamentals or equivalent knowledge; previous experience with base R is assumed and basic familiarity with the tidyverse. Workshop Materials: https://github.com/dlab-berkeley/R-Geospatial-Fundamentals Software Requirements: Requirements for R and RStudio

Hear from a panel of experts—an acquisitions editor, a scholarly book author, and an author rights expert—about the process of turning your dissertation into a book. You’ll come away from this panel discussion with practical advice about revising your dissertation, writing a book proposal, approaching editors, signing your first contract, and navigating the peer review and publication process.

This session focuses upon ImaginePhD to identify and assess potential career paths for advanced degree candidates in social sciences and humanities. Please bring a laptop to this session.