How I Made My Computer Write it's First Short Story - Alexander C.S. Hendorf
3,065 views · Published 1 August 2018 · 39:52 · Indexed 21 September 2026
Channel: PyData · 2018 · Science & Technology
PyData Berlin 2018 Imagine that we have a large body of text, a series of sequels that has been going on for decades. Using NLP and Deep Learning - can we train our computer to write a short story by itself? Can we hint the plot but let the machine fabricate the rest? In this talk I'll describe the whole journey: A fun ride from the idea to the very end including all the struggles, failures and successes. Alexander C.S. Hendorf is an independent AI strategy consultant with over 20 years of experience in digitalization and data-driven transformation. Through his commitment as a speaker and chair of various international conferences, he is a proven expert in the field of data intelligence. He has extensive experience in the practical application, introduction and communication of data and AI-driven strategies and decision-making processes. https://hendorf.com Slides: https://drive.google.com/file/d/1NkcdGRiTMXeNhqzOFRz6mjNEjnDN_F73/view?usp=sharing --- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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