Yes, but the sale shouldn't end because I just said no. There should be room left for me to be delighted by the product, such that I convert into a paying user. Instead, I feel alienated and not at all interested in trying it in the future.
So strange that your survey basically tells me I'm not a good fit if I'm not willing to consider paying for your product after a 14 day trial. How about let me try the product first and then I can make that assessment?
I've followed this curriculum for the past two years and I can report back that it will rid yourself of those insecurities. But I don't recommend following it to the letter. I used it as a starting point for each topic and then found multiple text books, university curriculums and hands on projects that fit my style of learning. For example, everyone recommends SICP, but I had a hard time staying with the original text book. Both Berkley and MIT have great video lectures based on the book and updated lectures based on Python. Watching both of these gave me a good understanding of the core of what SCIP really was trying to communicate. I later went back and went through the book, but used Racket as the scheme flavor and became familiar with that world.
Would highly recommend photos. Browsing gaming chairs, for instance, I immediately bounced from the page because I couldn’t visually browse the content.
Word on the street was that they were planning on including both TouchID and FaceID in the X, but scrapped it earlier this year due to low yields during mass production[0].
> And there's been a strong reaction from those who are heavily invested in SVMs/kernel methods, bayesian methods, etc to claim that deep learning isn't theoretically well grounded (which is not really that true any more, but is also beside the point for those that just want to get the best results for their project.)
Could you elaborate more on what has changed recently in the theoretical grounding of deep learning?
WhatsApp will not hand anything over because they can't. This article fails to investigate and explain the reasons why, rather casts fear and hate on the reader by making US tech companies look and sound unreasonable.
These lists leave out some important frameworks these apps are built on. For example, Pinterest links AsyncDisplayKit. I'm curious how this data is collected. If Keyword matching against known popular public frameworks, it might be worth expanding your queries to include all public CocoaPods.
But majority of their long-term success has been attributed to their ability to borrow money from larger banks like City. The growth of Virgin Records could not have happened without their battles with the banks.
I very much enjoy using NProgress.js (http://ricostacruz.com/nprogress/). Very similar to this library, but with the added benefit of a random increment function that allows you to show progress without knowing the specific position.