Humble Bundle Books: Artificial Intelligence
humblebundle.com
humblebundle.com
Some of the ones I've gotten don't look like they ever got near an editor, or even a spell-checker.
If I'm going to spend money and time, I'd rather go to Manning and have some confidence that it'll be quality.
Go with Manning, PragProg, NoStarch or even (with some caution) O'Reilly if you want quality content.
My next title will be self-published onto Github on a 'freemium' model. It'll allow me to develop the content in the open, and if people are so disposed, they can pay for an edition that carries additional explanatory text. Either way, I won't be writing for Packt again.
While some of the authors really put effort into it, I do not believe the quality of the books is of a very high standard. I'd rather spend my money elsewhere...
To give an example of what to expect, my experience with one particular book on Scientific Python: * most code examples wouldn't run without significant modification, mainly due to missing lines and multiple typos * some of the text was cryptic to the point of absurdity * topic coverage was unstructured, patchy and made no coherent sense overall * the website for the book was broken and I couldn't find any way to feed my corrections back to the author
Clearly Packt put no effort into quality assurance or editing. I would suggest you would be better off waiting for something from a more reliable publisher: such poorly edited books will just waste your time.
But I always worry with a big acquisition that they might change parts of the platform I like, and so that's my biggest concern.
Being a digital hoarder, myself, it's still quite tempting.
edit: For hoarders remember they have free books each day on Packt. They put an annoying captcha to stop you automating the download though...
I am a bit skeptical about this list as there isn't a single book that I recognise, but I have read at least one decent PacktPub book, so I was willing to take the risk.
You can skim through the books and at the very worst they'll just tell you what you already know. The Machine Learning with Go seems interesting as it's off the typical Python/R/C++ path.