the chrome browser spends a decent amount of time on other steps such as parsing HTML. I wonder how much time could be saved by not rendering pages into pixels.
The gap between sensationalism and pragmatism is measurement. The graph shows an accelerated growth of CO2 emission, but lacks exact profiling data to deduce reasonable actions.
I agree with most, but referrals are one of the most important indicators. "A hire As, B hire Cs". A known issue, however, is the workforce diverse given the heavy use of referral methods.
This might not be true given just a couple of hours staying in the office and talking to people. Management issues / technical debt are not visible until you work for the company.
It really depends the type of growth. Organic growth is driven by the quality of product therefore scaling issue comes later. But most venture-backed startup services such as O2O need quickly dominate market by throwing cash to get users so scaling is an issue from day one.
I don't view irratiality as a positive quality for entrepreneurs. From outsiders, they may seem crazy and stubborn. This is because those outsiders cannot understand the underlying assumptions or don't envision the world in the way the entrepreneur does. The entrepreneur should in fact always be rational, and make sure every decision is made based on solid ground.
I don't view irratiality as a positive quality for entrepreneurs. From outsiders, they may seem crazy and stubborn. This is because those outsiders cannot understand the underlying assumptions or don't envision the world in the way the entrepreneur does. The entrepreneur should in fact always be rational, and make sure every decision is made based on solid ground.
The high dimensionality is merely for the convenience of optimization, so that we get smoother manifold on which a good approximation solution can be found. In that regard, it is interesting to think about of space of models that we humans can interpret, and the possibility of "distill" deep neural nets into models in that space.
I think one difference is that for many languages like Python, the http endpoints are hosted in one process. That's less horizontally scalable than lambda services.
I am very surprised that it takes Apple years before they finally decide to release Siri API (supposedly). The benefit of speech assistant for apps seems huge. And would it been released earlier, Apple can collect much more speech data as well, which may help build next-gen Siri.
One way is to think about BI as insurance. Then the emergency cases are averaged across the entire population. Joe's twelfth car break-down can be classified as "insurance fraud".
They claimed to be "the only public toolkit that can scale beyond single machine". Well, mxnet (https://github.com/dmlc/mxnet) can scale across multiple CPUs and GPUs.
In a world so abundant of information, i think user attention is indeed a significant resource every major player should fight for. I guess the distribution of attention follows power law, that a few entrances take up most of the mobile use cases. For example, I use Uber, Wechat, GMaps much more often than the other apps. Search bar definitely is one of the most critical entrances.