Lesson Index| programminghistorian.org
This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Pyth...| programminghistorian.org
In this lesson, you’ll learn computer vision and machine learning principles for object recognition, and how to apply these principles using Python to recognize and classify smiling faces in his...| programminghistorian.org
Word embeddings allow you to analyze the usage of different terms in a corpus of texts by capturing information about their contextual usage. Through a primarily theoretical lens, this lesson wi...| programminghistorian.org
This lesson demonstrates how to create interactive data visualizations in Python with Plotly's open-source graphing libraries using materials from the Historical Violence Database.| programminghistorian.org
Tools for machine transcription of handwriting are practical and labour-saving if you need to analyse or present text in digital form. This lesson will explain how to write a Python program to t...| programminghistorian.org
This lesson demonstrates how to use the Python library spaCy for analysis of large collections of texts. This lesson details the process of using spaCy to enrich a corpus via lemmatization, part...| programminghistorian.org
This lesson uses word embeddings and clustering algorithms in Python to identify groups of similar documents in a corpus of approximately 9,000 academic abstracts. It will teach you the basics o...| programminghistorian.org
Nesta lição aprenderá a criar automaticamente resumos de eventos do passado a partir de conteúdos históricos arquivados da web. Em particular, demonstraremos como obter resultados relevantes ao ...| programminghistorian.org