abhikandoi2000

A lot of people in my country and especially my friend circle use WhatsApp, where I've witnessed them become addicted to the app because of its status feature. Also I have noticed that my friends admit to being addicted to WhatsApp (because of the 24 hours status thing) and they want to switch but say that since other people only use WhatsApp its hard for them to switch.

By high-end I mean at least 16GB RAM, 512GB M.2 PCIe NVMe Solid State Drive (or better), min. base frequency of 2.50 GHz, quadcore Processors and above (no Ultrabook support). Think Dell XPS 15 Laptop (here: https://www.dell.com/en-us/shop/dell-laptops/xps-15-laptop/spd/xps-15-7590-laptop/xn7590edldh).

Distro would have the following focus:

1. battery life; above 9hrs [CRITICAL]

2. beautiful and fast UI [CRITICAL]

3. intuitive and pleasing UX [CRITICAL]

4. developer focus: stack exchange integration, git/Mercurial plus GitHub, GitLab integration in explorer. tons of programmable interfaces for booting, screen etc. [CRITICAL]

4. only support for resolution 1080p and above (1920x1080)

5. only support for high-end pcs and laptops

6. limited drivers support to a small set of Wi-Fi, Bluetooth and other common devices (based on who's willing to pay)

7. Linux based and open source

8. no support for legacy drivers and devices

Expected audience is a small set of maybe around 10,000 people / developers who are willing to use it as their primary operating system and have an eye for battery life, design and speed.

Given these focus areas how much would you be willing to pay? If not for the OS itself, but for its development over a period of 2 years?

We are a bootstrapped team trying to build tools for data extraction. We are currently focusing on tools for data that is semi-structured and thus can be extracted using non deep learning based software. So if you think there is some data that you need (and you are willing to pay for) but it is not readily available, we might be able to help you. We are looking for different types of datasets that are actually useful to people, so that we can work towards a tool that can be generally used for some sort of data extraction. If you think you have such a dataset in mind, do let us know. Also, if you could share a website where we could find the semi-structured version of this dataset that you need, it'd be really helpful.

My background is in computer science and I'd like to learn how probability theory is applied.

I was reading the GraphSLAM paper to get a sense of the algorithms used for SLAM purposes in robots. While reading it, I realized that I have a tenuous grasp on probability theory, especially on topics like covariance, conditional probability and multivariate distributions (even things like what posterior probability represents).

I'd like to rectify this and gain an intuitive understanding of the subject, since it is commonly used in numerous areas of engineering.

I dislike books that introduce fully formed theorems with no derivation or proof of how they came into existence. Which comprehensive book(s) can I read?