This session will be a practical introduction to machine learning and AI for charities. Through real-world examples and case studies, attendees will learn the fundamental concepts of ML/AI in plain language, gaining an understanding of how these technologies differ from other approaches. The session will explore three core ML techniques: classification, regression, and clustering. We'll examine both successful implementations and examples where ML doesn't work as expected, helping you understand when and how to apply these tools effectively.
이 과정은 참가자가 다음 내용을 익히도록 설계되었습니다:
Explain what machine learning and AI are in accessible, non-technical language
Distinguish between the three main types of ML approaches: classification, regression, and clustering
Identify potential ML/AI applications relevant to their organisation's work
*이 과정에 등록함으로써 귀하는 이 과정에 대한 이메일 알림 수신에 동의하게 됩니다. 또한 개인정보 처리방침에 따라 다른 과정에 대한 안내도 받게 됩니다. 원하지 않는 경우 언제든지 수신 거부할 수 있습니다. 강의 자료는 90일 동안 이용할 수 있으므로, 90일이 지나기 전에 필요한 자료에 꼭 접근해 주세요. 외부 과정에 등록하기 전에 가격 및 제공업체의 이용 약관을 확인하세요. 이는 주요 이용 약관의 요약이며 전체 내용은 여기에서 확인할 수 있습니다. 디지털 학습 프로그램은 Infoxchange와 후원자들의 지원으로 운영됩니다. 더 많은 유용한 자료를 비영리 부문에 제공할 수 있도록 지금 후원해 주세요.
Dr. Eleanor Mare
Senior Data Scientist
Data Rock
Eleanor is a Senior Data Scientist at Datarock and a Fellow at the Good Data Institute. Her career began with a PhD and postdoctoral research in experimental geochemistry, which involved making rocks in the lab and zapping them with electrons and lasers. She was drawn out of academia after seeing the potential of data science to make an immediate impact in a variety of sectors, from mining to non-profits.
Vivek Katial
Co-Founder and Executive Director
Good Data Institute
🎗💫 Executive Director at the Good Data
Institute -- connecting charities to a community of socially-minded data
professionals
📊👷♂️ Founding team & Data Scientist at
Multitudes, we're on a mission to make equity the default at work. Check
us out multitudes.co
⚛️🔬 PhD in Quantum Computing at the University of Melbourne — Instance Space Analysis of Variational Quantum Algorithms
I
am someone who loves math, coding and travel. I pride myself on making
my work reproducible and thrive for best practice. I enjoy getting my
hands dirty in data and am always looking for opportunities where
technology can be used for social good.