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mitultiwari

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passage.ai 6y ago

Show HN: Passage AI Customer Service Automation App on Zendesk Marketplace

mitultiwari
3pts0
www.teslabot.ai 7y ago

Teslabot: A virtual assistant for Tesla cars – Locate, lock and other features

mitultiwari
74pts55
engineering.linkedin.com 13y ago

Blog post summarizing a related searches recommendations system

mitultiwari
2pts0
tobiaspeggs.tumblr.com 13y ago

Just got acquired? Adjustments to make when working for a Big Co.

mitultiwari
13pts1
techcrunch.com 13y ago

Netflix Is Bluffing

mitultiwari
27pts44
engineering.linkedin.com 14y ago

DataFu: an open source collection of useful Apache Pig UDFs

mitultiwari
4pts0
www.readwriteweb.com 14y ago

QRPedia: cool QR code application from Wikipedia

mitultiwari
2pts0
mitultiwari.blogspot.com 15y ago

A short summary of Facebook photo storage system: Haystack

mitultiwari
1pts0
www.cattell.net 15y ago

An article summarizing scalabale data stores

mitultiwari
1pts0
rgl.neoscientists.org 15y ago

Pretty cool 3D visualization library in R

mitultiwari
3pts0
www.slideshare.net 15y ago

Social Recommender Systems Tutorial - WWW 2011

mitultiwari
3pts0
bickson.blogspot.com 15y ago

Large Scale Machine Learning and Other Animals: Mahout/Hadoop on Amazon EC2

mitultiwari
7pts0
www.quora.com 15y ago

Which websites dropped the most in the latest Google algorithm change?

mitultiwari
80pts49
www.businessinsider.com 15y ago

Some of the ideas are pretty cool: "The 15 Most Brilliant New Ideas ..."

mitultiwari
5pts0
gigaom.com 15y ago

Hope annoying ads will disappear from publisher sites this way

mitultiwari
2pts0
www.riccomini.name 15y ago

SQL - PIG translation

mitultiwari
3pts0
www.npr.org 15y ago

Privacy At Stake As Sites Track Online Preferences

mitultiwari
2pts0

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 Is Bluffing 14 years ago

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.

“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.

It must be your extensions. Disable all extensions and try FF.

I use FF all the time with 10s of tabs open, and I don't have any issues with stability. My FF window is open for days and some time for weeks.

This is disappointing. It has been hard to find the soft copy of IEEE papers. Now it will be even harder. IEEE is losing it's value among CS people.

Good that most of CS papers are published in ACM conferences, and most of the authors publish a soft copy on their homepages.

Also, more and more CS people are posting their papers on arxiv.org.

Apache Mahout is interesting but I still haven't found a strong need to use it. Most of the time I can sample the data that I process in Hadoop, and use R for training machine learning algorithms.

Does any body know of any large scale data mining use of Apache Mahout?

When a deal appears for a business on Groupon, people buy those deals that day and visit that business later on. That's what I meant by "cash up front".

Yes, I agree with you that barrier to entry is very low. However, Groupon has so many businesses lined up (since they have maximum reach) that Groupon can choose the best deal to offer to customers. That's the advantage Groupon has compared to others.

A few ways Groupon is helping local businesses:

1. Groupon is bringing offline local businesses online. The same way Google brought small advertisers/small businesses online.

2. Groupon could be a useful way for business to get some cash up front for future customers. That cash may help small businesses expand, instead of taking loans to expand.

3. Groupon cost of small businesses could be useful marketing cost since Groupon deal reaches out to many local customers.

Slightly old but interesting read on this: http://www.evanmiller.org/is-groupon-the-next-google.html

Further, this article itself mentions "Note massive competitors like Google, Facebook, Walmart, Opentable, etc. already doing their own versions of daily half-off deals". As people have said "imitation is the best form of flattery". So many Groupon clones show that there is a demand for such a service from both small businesses and consumer sides.

However, some of the accounting practices of Groupon and the way Groupon used recent investment money seems unusual and have raised a lot of eye-brows.

Nicely written essay. I would say future is hard to predict. People in 1960s predicted about space travel but did not predict mobile devices like iphones that have so much compute power with so many apps with location, touch, social, communication features.

140 characters may not have great technology but can be attributed to bring social revolution in so many places.

Ultimately, need is mother of most of innovations. Need leads to demand, which leads to building new solutions.

Skype+Kinect+xbox can bring video calling to living room. Also, Skype could be a great addition to Windows mobile phones. I think these two might be the main reasons for Microsoft to buy Skype.

Now depends on how well Microsoft does Skype integration with their products.

thanks for sharing the link. nicely written article. apart from "formulating", "executing", and "selling" i would like to add two more steps in the beginning "survey" and "identify open problems". i would say in startup world also survey (competitive research) and "open problems" (novelty) are important.