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Fix road to meta learning book #26

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2 changes: 1 addition & 1 deletion Lessons/lesson1.qmd
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ As well as watching the video and working through the notebooks, you should also
You'll see that fast.ai's way of teaching is very different to what you might be used to, if you did a technical degree at university. Nearly all technical subjects at university are taught "bottom up": start with basic foundations, and gradually work up to complete useful solutions to real world problems. But we go "top down": start with complete useful solutions to real world problems, and gradually work down to the basic foundations. Education experts recommend this approach for more effective learning. For more information, have a look at this article that discusses the fast.ai teaching philosophy: [Providing a Good Education in Deep Learning](https://www.fast.ai/2016/10/08/teaching-philosophy/).

- How to learn - highly recommended books for fast.ai students
- [Meta Learning](https://radekosmulski.gumroad.com/l/learn_deep_learning)
- [Meta Learning](https://rosmulski.gumroad.com/l/learn_machine_learning)
- [A Mathematician's Lament](https://www.maa.org/external_archive/devlin/LockhartsLament.pdf) by Paul Lockhart
- [Making Learning Whole](http://www.pz.harvard.edu/resources/making-learning-whole-how-seven-principles-of-teaching-can-transform-education) by David Perkins
- Jupyter
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