Tag: youtube

Youtube is coming Home

A continuing series on better design interfaces for my favorite music channel – You Tube

Some things I like.

The shrink- expand button.

The wasted space for advertisement – to the left of the video that is hugely static in terms of changes. It should be rotated more often.

The non existing average time of play- does everyone watch the whole video . or is the whole video watched 56 million times.

the inability to scroll and zoom into the video analytics.

the completely outdated comments button- which can be better used to create a SOCIAL community. but all it shows is top ranked comment, and click before dropping down. I liked the NYT approach to segmented comments including Editors Picks, Most Recommended, Highlights.

The video response feature that can be easily gamed to ensure video views /phishes.

The comments page numbers at the bottom instead of being at the top for the casual scanner of comments.

              Next

Facebook is the first button rather than second button in the minimum shared view list. Is that true? Can these buttons be self learning to my preferred social network instead of a default. (hint- use Google prediction API)

There is no provision to replay a video, unless you put into a playlist- which fortunately has been quite changed, even though the urls for playlists should have a separate url shortener than you.tube

A much better recommended playlist of related videos- they should be customized to the eclectic taste of the signed in user than the actual content. Maybe Try something like iTunes Genius feature.

No provision for a paid , premium channel even for countries that are blocked en masse from watching certain videos, hence depend on illegal video responses.

Related articles

Analyzing Judas of Lady Gaga

Youtube, the big tube of the fat pipes of the internet’s shallow side (we shall discuss the deep Dark Net later)-

well Youtube enhanced video analytics greatly.

Have a look at Lady Gaga Judas video analytics data viz- do you think you can pack more or better data viz here.

Analytics is great- but Youtube please be a dear and hire some graphics designers once in a while. Nopes- not the ones your engineers are dating, but real graphics designers.

Related articles

Google releases V1.2 of Google Prediction API

Diagram showing overview of cloud computing in...
Image via Wikipedia

To join the preview group, go to the APIs Console and click the Prediction API slider to “ON,” and then sign up for a Google Storage account.

For the past several months, I have been member of a semi-public beta test/group/forum – that is headed by Travis Green of the Google Prediction API Team (not the hockey player). Basically in helping the Google guys more feedback on the feature list for model building via cloud computing. I couldn’t talk about it much , because it was all NDA hush hush.

Anyways- as of today the version 1.2 of Google Prediction API has been launched. What does this do to the ordinary Joe Modeler? Well it helps gives your models -thats right your plain vanilla logistic regression,arima, arimax, models an added ensemble option of using Google’s Machine Learning Continue reading “Google releases V1.2 of Google Prediction API”

Create an animation movie for free on Youtube

Image representing YouTube as depicted in Crun...
Image via CrunchBase

Just went to YOUTUBE to check the new apps they are rolling out.

It works! You can create art , cartoons, tutorials, videos without needing anything but a browser.

http://www.youtube.com/create/GoAnimate helped me create a @youtube video/animated movie at

Not bad for 5 minutes of work from 0 to finish.

Related Articles

Youtube’s variance in interface/s for sharing

Youtube seems to have a different  interface for sharing a channel, a playlist or an individual song. Also it seems to be missing out on revenue from Itunes (or maybe it isnt). and it seems to promoting Facebook and Twitter to the expense of other social media sharing buttons which can be only seen when you click share more (or maybe the buttons/social media channels change based on sharing activity analytics 🙂 )

on a slightly different note read my techie tutorial on boosting your youtube channel views

https://decisionstats.com/2010/09/10/creating-an-anonymous-bot/

Creating an Anonymous Bot

 

See the following interface snapshots/views-

youtube song share expanded
youtube song share expanded

 

youtube song share
youtube song share default
youtube playlist share
youtube playlist share
utube channel share
youtube channel share
Related Articles

Youtube's variance in interface/s for sharing

Youtube seems to have a different  interface for sharing a channel, a playlist or an individual song. Also it seems to be missing out on revenue from Itunes (or maybe it isnt). and it seems to promoting Facebook and Twitter to the expense of other social media sharing buttons which can be only seen when you click share more (or maybe the buttons/social media channels change based on sharing activity analytics 🙂 )

on a slightly different note read my techie tutorial on boosting your youtube channel views

https://decisionstats.com/2010/09/10/creating-an-anonymous-bot/

Creating an Anonymous Bot

 

See the following interface snapshots/views-

youtube song share expanded
youtube song share expanded

 

youtube song share
youtube song share default
youtube playlist share
youtube playlist share
utube channel share
youtube channel share
Related Articles

IBM and Revolution team to create new in-database R

From the Press Release at http://www.revolutionanalytics.com/news-events/news-room/2011/revolution-analytics-netezza-partnership.php

Under the terms of the agreement, the companies will work together to create a version of Revolution’s software that takes advantage of IBM Netezza’s i-class technology so that Revolution R Enterprise can run in-database in an optimal fashion.

About IBM

For information about IBM Netezza, please visit: http://www.netezza.com.
For Information on IBM Information Management, please visit: http://www.ibm.com/software/data/information-on-demand/
For information on IBM Business Analytics, please visit the online press kit: http://www.ibm.com/press/us/en/presskit/27163.wss
Follow IBM and Analytics on Twitter: http://twitter.com/ibmbizanalytics
Follow IBM analytics on Tumblr: http://smarterplanet.tumblr.com/tagged/new_intelligence
IBM YouTube Analytics Channel: http://www.youtube.com/user/ibmbusinessanalytics
For information on IBM Smarter Systems: http://www-03.ibm.com/systems/smarter/

About Revolution Analytics

Revolution Analytics is the leading commercial provider of software and services based on the open source R project for statistical computing.  Led by predictive analytics pioneer Norman Nie, the company brings high performance, productivity and enterprise readiness to R, the most powerful statistics language in the world. The company’s flagship Revolution R product is designed to meet the production needs of large organizations in industries such as finance, life sciences, retail, manufacturing and media.  Used by over 2 million analysts in academia and at cutting-edge companies such as Google, Bank of America and Acxiom, R has emerged as the standard of innovation in statistical analysis. Revolution Analytics is committed to fostering the continued growth of the R community through sponsorship of the Inside-R.org community site, funding worldwide R user groups and offers free licenses of Revolution R Enterprise to everyone in academia.


Netezza, an IBM Company, is the global leader in data warehouse, analytic and monitoring appliances that dramatically simplify high-performance analytics across an extended enterprise. IBM Netezza’s technology enables organizations to process enormous amounts of captured data at exceptional speed, providing a significant competitive and operational advantage in today’s data-intensive industries, including digital media, energy, financial services, government, health and life sciences, retail and telecommunications.

The IBM Netezza TwinFin® appliance is built specifically to analyze petabytes of detailed data significantly faster than existing data warehouse options, and at a much lower total cost of ownership. It stores, filters and processes terabytes of records within a single unit, analyzing only the relevant information for each query.

Using Revolution R Enterprise & Netezza Together

Revolution Analytics and IBM Netezza have announced a partnership to integrate Revolution R Enterprise and the IBM Netezza TwinFin  Data Warehouse Appliance. For the first time, customers seeking to run high performance and full-scale predictive analytics from within a data warehouse platform will be able to directly leverage the power of the open source R statistics language. The companies are working together to create a version of Revolution’s software that takes advantage of IBM Netezza’s i-class technology so that Revolution R Enterprise can run in-database in an optimal fashion.

This partnership integrates Revolution R Enterprise with IBM Netezza’s high performance data warehouse and advanced analytics platform to help organizations combat the challenges that arise as complexity and the scale of data grow.  By moving the analytics processing next to the data, this integration will minimize data movement – a significant bottleneck, especially when dealing with “Big Data”.  It will deliver high performance on large scale data, while leveraging the latest innovations in analytics.

With Revolution R Enterprise for IBM Netezza, advanced R computations are available for rapid analysis of hundreds of terabyte-class data volumes — and can deliver 10-100x performance improvements at a fraction of the cost compared to traditional analytics vendors.

Additional Resources


Related Articles