127 karma · joined December 2, 2014
I asked more to hear the author's opinion about which of the concepts are most directly applicable/related to web development so I can start with those (feel free to answer if you know!).
What chapters to you think I, or someone like me, would get the biggest kick out of?
If that's really what your whole post is about, why take the take to argue definitions? What does fundamental mean to you exactly?
I agree with your sentiment, but curious to see what you ran into specifically.
The justification of the cost is the value that the app is bringing to me (or my business). If I had some kind of lead gen software that brought me an additional N leads per month I'd loooove to pay N(.05)(margin_on_closed_deal) or something like that -- and having used similar justifications to potential customers I know that many businesspeople agree.
What os/browser are you using?
Other commenters are comparing this to Rapportive. LinkedIn has discontinued Rapportive and this is an excellent substitute.
So far the hit rate for finding emails has been about 80 - 85% in my experience.
As an aside: I think Clearbit's building a really excellent suite of APIs, and Connect is only the icing on the cake.
Must be the fun animations that sell this.
http://highscalability.com/blog/2012/10/4/linkedin-moved-fro...
The author successful tells a simple story with unexpected tidbits and concrete language (eg "every submission you see here is certifiably timeless") and does a good job following writing best practices like "not burying the lead".
You might be interested in reading "Make it Stick" (it's where I learned about this subject from) if you haven't already -- and/or the Priceonomics guide to content marketing.
Clickbait title probably didn't hurt either.
I don't think OP is suggesting that they use it for anything more serious than a quick poll at the moment.
Sorry if I'm misreading the tone of your post.
It looks like more of an ebook and it seems to cover most of the essentials in your typical undergrad course + bootstrapping and intro to bayesian. From what I scanned it might be a little slow if you're just looking for a stats refresher -- depending on your level of experience I'd recommend the numpy and pandas docs as a "next step up" from the link (and maybe a bit more practical IMO).
Does anyone have specific recommendations on how to pursue what the author suggests?
1. Why do you think OP's wrong? You don't really state, in either this thread or that one.
2. What our your sources for OP being incorrect? Semi-anonymous internet posters can keep trashing each other ad infinitum, and without any sources (that I saw, maybe I am wrong) you don't present a convincing argument against.
Thank you!