mitultiwari

A few things that you can't do in the official app, but you can do in the Teslabot: (1) voice control - send a voice messages/commands to Teslabot, (2) find out whether your car can go to a destination such as San Francisco with the current charge - Teslabot figures out location of the car, distance to the destination, battery range and answers that question, and also the bot is available from your laptop/desktop.

Nicely written blog!

Agree with the author that academia sometimes focusses on a very narrow band of research topics, which might or might not improve end user experience. Also, agree with the author that personalized news has very interesting NLP+Machine Learning problems.

However, I am not convinced that personalized news is what users wants, and whether users want to discover popular news and articles by serendipity, socially, rather than personalization by algorithms. Further, I think personalized news has very limited opportunity for generating significant revenue.

There are lots of startups hosting their services on AWS. Their data is already on AWS. Amazon's Redshift makes perfect sense for them.

Many startups like Qubole have been already working on providing such cloud based solutions for data analysis.

Netflix focusses on movie/tv-series subscription model (streaming+dvds), and they are laser focussed on improving consumer experience in this area. On the other hand, Apple, Google, Amazon focus on other businesses (hardware, advertising, and e-commerce). That's why I think Netflix will survive, and that's why startups survive and thrive: Focus!

Some of the functionalities right now are:

(1) Ability to save and tag tweets with urls (kind of Delicious) (2) Url content inline with the corresponding tweet (3) Search over all the tweets you could have seen. In other words, you can search over all the tweets of the people you follow.

"UNIX is very simple, it just needs a genius to understand its simplicity." -- Dennis Ritchie. RIP.

“Being the richest man in the cemetery doesn’t matter to me … Going to bed at night saying we’ve done something wonderful… that’s what matters to me.” -- Steve Jobs. RIP.

With Silk, Amazon will be able to see what webpages Kindle Fire readers are reading, and they can mine that data to figure out which web pages are read together. Based on the pages that are read together, Amazon can build interesting web page recommendation system using collaborative filtering techniques.

I use Pig to write many of my Hadoop Mapreduce jobs and test my Pig script on a small dataset using Pig Grunt. Pig 0.9 has a lot more debug information as well.