Jeremy Howard is an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum.
Jeremy’s most recent startup, Enlitic, was the first company to apply deep learning to medicine, and has been selected one of the world’s top 50 smartest companies by MIT Tech Review two years running. He was previously the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions 2 years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group–purchased by Lexis-Nexis). Before that, he spent 8 years in management consulting, at McKinsey & Co, and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.
He has many television and other video appearances, including as a regular guest on Australia’s highest-rated breakfast news program, a popular talk on TED.com, and data science and web development tutorials and discussions.
Sylvain is a former teacher and a Research Scientist at fast.ai, with a focus on making deep learning more accessible by designing and improving techniques that allow models to train fast on limited resources.
Prior to this, Sylvain wrote several books covering the entire curriculum he was teaching in France (published at Éditions Dunod) until 2015 in CPGE. CPGE are a French specific two-year program whereby handpicked students who graduated high school follow an intense preparation before sitting for the competitive exam to enter the top engineering and business schools of the country. Sylvain taught computer science and mathematics in that program for seven years.
Sylvain is an alumni from École Normale Supérieure (Paris, France) where he studied mathematics and has a Master’s Degree in mathematics from University Paris XI (Orsay, France).
3 有用 Momo 2020-12-31 00:19:46
通过对预训练模型进行微调,不需要太多算力、数据也能玩出不错的效果。 fastai 就很务实,真的怎么快捷就怎么来,甚至有点暴力。
0 有用 Bodhin 2022-11-18 21:08:55 北京
可以跟着视频一起学
0 有用 Shrike 2022-08-08 23:52:04
fastai用来入门确实不错
0 有用 iphyer 2020-12-27 12:42:54
FastAI 除了 Doc 写得不太方便其他没啥缺点,有时候 Doc 写得不好,就去看源代码,更加方便。
0 有用 女王公园的八神 2021-05-31 16:36:03
文档写的不好,有时候要看源码。1和2不兼容,容易搞错了。
0 有用 乔林翰 2023-04-22 23:37:38 加拿大
心甘情愿买的正版。Jeremy is really impressive in the introduction of their Fastai API. If you see his GitHub profile, you must admire his hard work. I also learned how to use Jupyter, GIst, Colab, and GCP, ...... 心甘情愿买的正版。Jeremy is really impressive in the introduction of their Fastai API. If you see his GitHub profile, you must admire his hard work. I also learned how to use Jupyter, GIst, Colab, and GCP, ... Anyway, it is really helpful to speed up my own research work to my graduation, and my understanding of the DNN models. (展开)
0 有用 Bodhin 2022-11-18 21:08:55 北京
可以跟着视频一起学
0 有用 Shrike 2022-08-08 23:52:04
fastai用来入门确实不错
0 有用 女王公园的八神 2021-05-31 16:36:03
文档写的不好,有时候要看源码。1和2不兼容,容易搞错了。
1 有用 PSYNICS 2021-01-01 04:51:54
教授带着做学术project的时候推荐的这套,主要针对的也是计算机方向的学生,而不是统计方向的学生。其实读完以后觉得到后面的内容开始讲得越来越粗糙,很多地方都需要一些积累,比起textbook更像是slides。