By contrast, Jeremy and team have proven that "build it and they will come" is not dead. They built high quality courses and quickly became authoritative with no marketing and with full transparency and openness in everything they do.
This book draft looks great. Everyone else is talking about "democratising AI" - this is actually doing it.
They don't have access to compute power (GPUs) or bandwidth to download datasets hundreds of gigabytes of data, which they'll find right there, so this should help them since they don't need to have powerful machines or worry about experiment tracking.
We also have a Publish option to make an application from a notebook in one click behind the scenes with training parameters in a form generated automatically, so they can write scripts and instrument model training.
The fast.ai course will also help current or future members, and other students. It's important for us to make it even easier for people to enter the field.
Most DL researchers I know also have a pretty good knowledge of available libraries and make it a habit to check them pretty often.
Few people here need to look it up; the basic promotion has already been done very effectively for the target audience. Besides, the intro chapter explains very clearly what the book is about and who it's for.
What is Fastai? Why do I need it?
Something as basic as an elevator speech that introduces your product in your github page and book intro can mean 10x or 100x more sales.
If you force people into having to search it for you, you have already lost most of them.
For this author it is as you already know everything about Fastai, but if you did, you would not be needing this book in the first place.
It happens a lot to technical writers because they have spent years thinking about a topic, so they could not put themselves in the shoes of someone who does not.