This three-part series will cover the following materials:
Part 1: Introduction
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Training: Stata Fundamentals: Part 2
November 18, 2019
This three-part series will cover the following materials:
Part 1: Introduction
Training: Stata Fundamentals: Part 1
November 4, 2019
This three-part series will cover the following materials:
Part 1: Introduction
Training: Machine Learning in Python: Part 2
November 1, 2019
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.
Training: Machine Learning in Python: Part 1
October 25, 2019
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.
November 18, 2019
Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study.
Training: Introduction to Scrivener
November 4, 2019
Come to this workshop to explore Scrivener, a software program that allows you to organize the many components of writing an academic paper, thesis, fiction book, or nonfiction book.
Training: Introduction to Scrivener
November 4, 2019
Come to this workshop to explore Scrivener, a software program that allows you to organize the many components of writing an academic paper, thesis, fiction book, or nonfiction book.
Training: Introduction to ATLAS.ti for Windows
October 22, 2019
This workshop will focus on organizing, coding, and analyzing qualitative data using ATLAS.ti, a qualitative data analysis (QDA) software program for which D-Lab provides support.
October 24, 2019
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, an
