Name of Exam | Date of Exam |
All India Entrance Examination For Design (AIEED) | Online Exam – 15 Apr to 30 Apr 2017 CBT – 07 May 2017 |
Army Institute of Fashion Design (AIFD) | 13 May 2017 – UG Only |
Common Entrance Examination for Design (CEED) | 22 Jan 2017 |
Footwear Design & Development Institute (FDDI AIST) | 01, 02 & 03 Aug 2016 |
GD Goenka Design Aptitude Test (DAT) | 05 Feb 2017 |
GLS Institute of Design Entrance Exam | 29 Jan 2017 |
Indian Institute of Art & Design (IIAD) Entrance Exam | Outstation – 05 & 06 May 2017 Delhi – 18 to 21 May 2017 |
Indian Institute of Crafts & Design (IICD) Entrance Exam | 28 May 2017 |
IIT Undergraduate Common Entrance Examination for Design (UCEED) | 22 Jan 2017 |
MAEER’s MIT Institute of Design GDP and PGDP Admission | 02 Apr 2017 Cycle 2 – June 2017 |
NIFT Entrance Exam | 12 Feb 2017 |
NIIFT Mohali Entrance Exam | 04 Jun 2016 |
NID Kurukshetra Entrance Exam | Prelims – 08 Jan 2017 Mains – 09 to 10 Jan 2017 |
NID Graduate Diploma Programme in Design (GDPD) | Prelims – 08 Jan 2017 Mains – 15 to 20 May 2017 |
NID Post Graduate Diploma Programme in Design (PGDPD) | Prelims – 08 Jan 2017 Mains – 15 to 20 May 2017 |
Pearl Academy of Fashion (PAF) Combined General Proficiency Test (GPT) and Design Aptitude Test (DAT) | Cycle 1 – 28 Jan 2017 Cycle 2 – 29 Apr 2017 |
School of Fashion Technology (SOFT) Pune | 18 May – 20 May 2017 |
Srishti Entrance & Aptitude Test (SEAT) | UG Courses – 15 Apr – 17 Apr 2017 PG Courses – 28 Jan – 29 Jan 2017 |
UID Ahmedabad Entrance Exam | 05 Feb 2017 |
WLCI All Indian Common Entrance Test (AICET) | Jan 2017 |
Apache Hadoop Training At Easylearning
Apache Hadoop has become one of the most growing technologies these days. As the amount of “Big Data” rises, the need for Hadoop is...
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Friday, 23 June 2017
Fashion Designing Entrance Exams 2017 - Notification and Dates
Wednesday, 22 June 2016
Easylearning Free Webinar on Image Processing in Apache Spark
Image processing is loading an image and performing some operation on it or extracting some useful information from it. This is what we will show in our webinar.
We will read images in spark and perform operations like resizing the image on it or counting the number of faces in an image or extract some useful information like width and size of an image.
Image processing is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies. It forms core research area within engineering and computer science disciplines too.
The output of image processing may be either an image or a set of characteristics or parameters related to the image. Users will get to know how to handle big data in unstructured format using spark. The webinar is about analyzing images using spark. There are various analytics tools for processing images but making analysis using spark makes this webinar interesting. Theory as well as hand-on session are included in this webinar.
Get Complete Webinar Details and Enroll Now- http://goo.gl/J9faOV
Date: 28 June 2016 at 06:30 PM ( IST )
Saturday, 18 June 2016
Face Detection using Hadoop MapReduce Framework
By GyanSha Infotech01:24Big Data Hadoop, Face Detection, hadoop course online, Hadoop Mapreduce, Hadoop training, Hadoop TutorialNo comments
Face detection is a PC innovation that is utilized to spot and distinguish human appearances in computerized pictures. Programming and particular calculations are utilized to build up the presence, area, size and different points of interest of a human face in a photo or video or some other picture. The product has the capacity to separate between the facial elements of the individual and other foundation objects.
Go along with this online course to figure out how to distinguish and separate appearances from pictures utilizing the Hadoop MapReduce structure. Hadoop MapReduce is a standout amongst the most sought after programming models that attempts to actualize preparing and producing tremendous information sets with parallel and appropriated calculations on a bunch. A MapReduce program basically comprises of a Map, the methodology that channels and sorts information, and a Reduce, which plays out the synopsis operation, along these lines actualizing the MapReduce System foundation or structure that coordinates the information handling by marshaling appropriated servers, running parallel assignments, dealing with all information exchanges between framework parts and minimizing redundancies and issues.
The center of this online course is the anaylsis of unstructured information utilizing the Hadoop Framework. Specifically it will focus on face location by means of Hadoop Framework. The online class will incorporate hypothesis furthermore have a hands-on down to earth session. In this online class will take you through the fundamental parts of Hadoop MapReduce and afterward talk about a portion of the picture handling calculations. It will likewise display a basic model that can be utilized for the recognition, area and extraction of countenances from pictures in the Hadoop Framework with the assistance of particular calculations.
Webinar Details-
Webinar Topic- Face Detection Using Hadoop Mapreduce Framework
Date: 21 June 2016 at 6:30 Pm (IST)
Register For Webinar- http://goo.gl/2bW2Wk
Tuesday, 25 November 2014
MongoDB Tutorials for Beginners at EasyLearning Guru
By GyanSha Infotech23:43MongoDB Classes, MongoDB Training, MongoDB Tutorial, Mongodb Tutorial for beginners1 comment
MongoDB is a flexible, powerful and scalable
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MongoDB is document-oriented database. The
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MongoDB is the leading NoSQL database, with
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Address: First Floor, Plot No-97, Sector-44, Gurgaon Haryana - 122002
Tuesday, 18 November 2014
Apache Hadoop Training at Easylearning Guru
By GyanSha Infotech04:42big data hadoop training, hadoop course online, Hadoop training, Hadoop Tutorial, online hadoop training2 comments
Apache
Hadoop has become one of the most growing technologies these days. As the
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Address: First Floor, Plot No-97, Sector-44, Gurgaon Haryana - 122002