Tuesday, January 17, 2017

Jayalalithaa's Niece Deepa Jayakumar, Her Lookalike, Announces Political Debut

CHENNAI: Late Tamil Nadu chief minister J Jayalalithaa's niece Deepa Jayakumaron Tuesday said she has decided to enter politics to fulfill her aunt's dreams.



"I can't see anyone in the place of Jayalalithaa. It was after talking to AIADMK cadre that I decided to enter politics," Deepa said at a press conference at her home in T Nagar here.


"There are two options -- one to join the AIADMK and the other, to launch a new party. I will take a call on it after talking to my supporters," she said.


Deepa said she would announce her decision on her aunt's birth anniversary, on February 24.


Asked whether she was scared of AIADMK general secretary V K sasikala, Deepa said, "I'm not scared of anybody, it is not my nature."


She avoided questions in connection with Sasikala. "I don't want to make any personal comment now. Cadre's and people's decision is final," she said.


Asked about her lack of experience in politics, Deepa said taking care of the welfare of the people is important, and not experience. "I will follow the footsteps of MGR and Jayalalithaa and I will work for the welfare of people. A number of schemes that Amma implemented should be reached to the right people. I will work for it," she said.



Deepa's house in T Nagar witnessed huge crowd of supporters who were shouting slogans supporting the young leader.



Shocking!!! Jayalalitha ghost in HOSPITAL GROUND FLOOR haunted CAR PARKING AREA.


Sasikala and in fear of his JAYALALITHA enemies

TAMILNADU CHIEF MINISTER JAYALALITHA GHOST TRUE OR FAKE?
ANALYSIS VIDEO

Jayalalithaa Jayaram [a] (24 February 1948 – 5 December 2016) was an Indian actress and politician who served five terms as the Chief Minister of Tamil Nadu, for over fourteen years between 1991 and 2016. ... In 1982, when MGR was chief minister, Jayalalithaa joined the AIADMK, the party he founded.

The fear of ghosts in many human cultures is based on beliefs that some ghosts may be malevolent towards people and dangerous (within the range of all possible attitudes, including mischievous, benign, indifferent, etc.). It is related to fear of the dark.

The fear of ghosts is sometimes referred to as phasmophobia[1] and erroneously spectrophobia, the latter being an established term for fear of mirrors and one's own reflections

virat-kohli.jpg

A new year, a new format, a different captain and confronting a man leading his country for the first time as full-time ODI captain: England had reason to believe that their limited overs tour of India would be less dispiriting than their Test sojourn. And yet, for all these changes, the abiding sense at Pune was of continuity, as Virat Kohli once again showcased his credentials as the best all-format batsman in the world game, and England left perplexed by how their legitimate victory hopes had given way to a comprehensive defeat.
England also confronted an unfamiliar foe: Kedar Jadhav, a diminutive 31-year-old who had previously only made an international half-century against Zimbabwe. Not that Jadhav lost much by comparison with his captain, decimating England with clean hitting down the ground, legside flicks of wonderful precision and silky late cuts like that to reach a barnstorming century, off just 65 balls. It was all the more satisfying - and celebrated all the more rapturously - for coming at his home ground. 
So the bumper crowd at Pune were left not only with the result they wanted, but a pulsating and widely oscillating route there. The two sides took turns to come back from the depths: India from the hopelessness of being four wickets down and needing a further 288 to win, a position from which only one ODI in history had ever been won; and then England from the despair India’s fifth-wicket stand of 200 in 24.3 overs, through sheer bloody mindedness and perseverance from Jake Ball and Ben Stokes. In the event, though, England’s riposte came too late to overcome the damage wrought between Kohli and Jadhav. 

Tuesday, April 19, 2011



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Monday, February 7, 2011


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Friday, January 7, 2011

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Monday, December 27, 2010

Introduction to Amazon Mechanical Turk
The following topics provide a high-level overview of the Amazon Mechanical Turk web service. After reading these topics, you should understand the basics you need to work through the examples in this guide.

Overview of Amazon Mechanical Turk

Amazon Mechanical Turk provides an on-demand, scalable, human workforce to complete jobs that humans can do better than computers. Amazon Mechanical Turk software formalizes job offers to the thousands of Workers willing to do piecemeal work at their convenience. The software also retrieves work performed and compiles it for you, the Requester, who pays the Workers for satisfactory work (only). Optional qualification tests enable you to select competent Workers.
The kinds of tasks humans can complete better than computers includes finding objects in photos, writing reviews of restaurants, movies, or businesses, translating text passages into foreign languages, getting the hours of operation of the business center within a hotel, determining if a hotel is family-friendly, or telling you the most relevant search results for a given phrase.
This guide presents a very slim slice of the Amazon Mechanical Turk API. For a complete description of the entire API, go to the Amazon Mechanical Turk API Reference. For more information about using the API, go to the Amazon Mechanical Turk Developer Guide.

Features

The following list describes the features of Amazon Mechanical Turk highlighted by the tutorial in this guide.
  • On-demand workforce—Amazon Mechanical Turk provides access to a virtual community of Workers.
  • Create jobs that Workers perform over the Internet—Advertise your job to the thousands of Amazon Mechanical TurkWorkers around the world
    You prescribe the job (HIT) that Workers complete using their computer, and pay them for their work.
  • Test and publish your jobs—Test your applications in the Amazon Mechanical Turk sandbox
    Test your jobs in the Amazon Mechanical Turk sandbox and publish the revised jobs to the outside world.
Amazon Mechanical Turk provides SDKs and command line tools to make it easier to build solutions leveraging Amazon Mechanical Turk.

Key Amazon Mechanical Turk Concepts

This section describes the concepts and terminology you need to understand to use Amazon Mechanical Turk effectively.

Requester

Requester is a company, organization, or person that creates and submits tasks (HITs) to Amazon Mechanical Turk for Workers to perform. As a Requester, you can use a software application to interact with Amazon Mechanical Turk to submit tasks, retrieve results, and perform other automated tasks. You can use the Requester website to check the status of your HITs, and manage your account.

Human Intelligence Task

Human Intelligence Task (HIT) is a task that a Requester submits to Amazon Mechanical Turk for Workers to perform. A HIT represents a single, self-contained task, for example, "Identify the car color in the photo." Workers can find HITs listed on the Amazon Mechanical Turk website. For more information, go to the Amazon Mechanical Turk website.
Each HIT has a lifetime, specified by the Requester, that determines how long the HIT is available to Workers. A HIT also has an assignment duration, which is the amount of time a Worker has to complete a HIT after accepting it.

Worker

Worker is a person who performs the tasks specified by a Requester in a HIT. Workers use the Amazon Mechanical Turk website to find and accept assignments, enter values into the question form, and submit the results. The Requester specifies how many Workers can work on a task. Amazon Mechanical Turk guarantees that a Worker can work on each task only one time.

Assignment

An assignment specifies how many people can submit completed work for your HIT. When a Worker accepts a HIT, Amazon Mechanical Turk creates an assignment to track the work to completion. The assignment belongs exclusively to the Worker and guarantees that the Worker can submit results and be eligible for a reward until the time the HIT or assignment expires.

Reward

reward is the money you, as a Requester, pay Workers for satisfactory work they do on your HITs.

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