Five days workshop on Big Data Technologies and Machine Learning - 2019

Five days workshop on “Big Data Technologies and Machine Learning - 2019”

Date: 02 - 06 December 2019

Workshop Objective

The workshop has been specifically designed for the industry, academia, scientific and research communities for understanding of Big Data concepts and technologies, its working and advances, Machine Learning and Deep Learning. The detailed five-day program focuses on practical knowledge of Big Data and Machine Learning tools such as Apache Hadoop, Apache Spark, Apache Hive, Scikit-learn, SparkML and Keras. The program has been designed to delve deeper into Machine Learning algorithms with real-world use cases, along with hands-on sessions and Deep Learning concepts.

Target Audiences

Scientists/ Researchers/ Academicians/ Tech-enthusiasts keen to learn and adopt Big Data tools, Machine Learning and Deep Learning

Pre-requisites

  • Familiarity with Linux Platform
  • Working knowledge of Python
  • Basic knowledge of Java

Intake

Participants will be limited to a maximum of thirty (30) seats and on First-come First-served basis only.
** Theory sessions will be followed by hands-on session

Registration Fees

Rs. 6000/ - (in INR) Inclusive of GST

Travel/ Boarding expenses to be taken care by the participants

Registration Dates

Registration opens from 06 - 28 November 2019

Click here for Workshop Brochure
(File Type: PDF, File Size: 534 KB, Date: 06/11/2019)

Time

9.00 AM to 5.30 PM every day

Venue

Centre for Development of Advanced Computing
C-DAC Knowledge Park,
No. 1, Old Madras Road, Baiyappanahalli,
Bengaluru - 560038, Karnataka
Tel: (O) + 91-80-25093400
Fax: + 91-80-25247724

Route Map: http://goo.gl/s5msvj

Contact Person for Registration

Mr. Manavalan R
Mobile No: +919739969499
Land Line: +91-80 25093515
E-mail ID: rmanavalan@cdac.in

Click here for Registration

Registration Cancellation Policy

If the participant chooses to cancel their confirmed registration or cannot or does not attend the workshop, he/ she will receive a refund of 70% of the registration fees.