2012
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Jeremy Howard (born 13 November 1973) is an Australian data scientist, entrepreneur, and educator. [1] He is the co-founder of fast.ai , where he teaches introductory courses, [2] develops software, and conducts research in the area of deep learning.
Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur. He created ULMFiT, the AI system behind ChatGPT and Google Gemini, and co-founded fast.ai, a research institute to make deep learning more accessible.
I am a founding researcherat fast.ai, and an honorary professorat the University of Queensland. If and when I find some time, I’ll flesh this personal web site out a little more. In the meantime, here’s a quick list of a few of the things I’ve created(or co-created): Deep Learning and Machine Learning.
Learn how to apply deep learning and machine learning to practical problems with PyTorch, fastai, and Hugging Face. Jeremy Howard, the co-founder of fast.ai and a former Kaggle champion, is your teacher in this course.
Learn deep learning from Jeremy Howard, a researcher and educator who co-founded fast.ai and PyTorch. Watch free videos on practical deep learning for coders, CUDA, language models, and more.
Jeremy Howard is a co-founder of fast.ai, a research lab and education platform for practical deep learning. Read his posts on topics such as AI ethics, language models, COVID-19, and more.
Welcome to fast.ai's 7 week course, Practical Deep Learning For Coders, Part 1, taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down.
