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Congratulations! Do you have a slack or some other place to group together readers of this book to discuss? I'd love to poke other readers' (and yours) brains as I go through this.
For now I do have an email address provided for any questions in the book, and am reachable on Twitter (mlpowered) and GitHub.
I read this book on the O’Reilly website using their trial period and have also pre-ordered a physical copy. It is excellent and I recommend it to anyone into practical ML.
Congratulations to the release. I am a little bit skeptic about your running example, the "ML Editor". A model that helps you asking "good" questions, e.g. on StackOverflow. Isn't that like an extremely complicated problem, I would even say AI hard? How do you want to evaluate if a question is "good" (and sure thing, it's not the number of upvotes it gets)? Is there a working example of such an editor in action, beca…
Improving question quality could however be a product goal for StackOverflow, or for a company focusing on writing tools (Grammarly, Textio,...). The book describes a process for turning that vague product goal into a more tangible set of metrics, which lead to choosing an ML approach, and iterating on it.
Eventually there is a finished prototype, for which you can find a GitHub link in the PDF preview. It has definitely not solved how to evaluate if a question is "good", but aims to provide a narrower set of recommendations (the first chapter actually dives into an approach for this).
Congrats on writing the book! As I'm a student of GeorgiaTech, I have access to Oreilly's Safari. I just found the book over there and am looking forward to reading it.
GATech student here! I've added it to my playlist, I've got a couple more shiny reads if you want to check it out. https://learning.oreilly.com/playlists/0c80dca0-2137-4cae-98...
I recently published my first book! Writing a book has been a personal goal for the longest time, and Hacker News is the main reason I got to do so. Reading interesting posts on HN daily eventually inspired me to write my own, and posting my own writing to HN showed me there was an audience for the topics I wanted to write about. I started blogging about Machine Learning in 2017, and posted some of my writing to HN.…
Congrats! Did O'Reilly give you valuable technical feedback while you were writing the book? I was in talks with publishers, but decided to self-publish ( https://leanpub.com/beautiful-spark/ ) because I didn't get the impression that the book publishers would be able to help at all with deeply technical issues.
Congratulations to the release. I am a little bit skeptic about your running example, the "ML Editor". A model that helps you asking "good" questions, e.g. on StackOverflow. Isn't that like an extremely complicated problem, I would even say AI hard? How do you want to evaluate if a question is "good" (and sure thing, it's not the number of upvotes it gets)? Is there a working example of such an editor in action, beca…
Earlier quoted context omitted.
That’s great! I don’t believe it’s ever occurred to me that a publisher might reach out to a blogger. One good use for web analytics eh. I have a text file I’ve kept for 16 years that contains quotes from many sources and some of my own musings. I dream to one day use it to inspire myself to spout something.
Perhaps publish it on Github? Maybe someone will find a gem in there. I have some musings [1] on Github too. Thoughts that I want to get out there but are too incoherent to become blog posts ... [1] https://github.com/Rainymood/musings
Looks great, I think I will pick this up. Can I ask a strange question, what font is used for the text in the book? It's very pleasant to look at!
Congrats on writing the book! As I'm a student of GeorgiaTech, I have access to Oreilly's Safari. I just found the book over there and am looking forward to reading it.