Channel: PyData

Category: Science & Technology

Tags: pythonlearn to codeeducationsoftwarepydatalearncodinghow to programjuliaopensourcescientific programmingnumfocuspython 3tutorial

Description: # (Talk 1) Ayoola Olafenwa: The Role of Artificial Intelligence in Creating Intelligent Machines In this talk, Ayoola will walk us through the definition of AI, and its evolution, building intelligent machines, and contributions of Artificial Intelligence in different fields such as healthcare, agriculture, business, and the automobile industry. Ayoola will also explore about her open source projects in computer vision: PixelLib & OrangeLib. Link to PixelLib's Github Profile: github.com/ayoolaolafenwa/PixelLib Link to OrangeLib's Github Profile: github.com/ayoolaolafenwa/orangelib # (Talk 2) Malte Tichy: How to fix Mean Absolute Error Mean Absolute Error is a simple, popular and seemingly intuitive measure for how well a predictive model scores, which is why it is being used in many applications. Despite its simplicity, it comes, however, with surprisingly many subtle and dangerous pitfalls. Using standard python libraries, we explore why the Mean Absolute Error does often not answer the question we think we are asking, and explore alternatives. 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.