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Workshop on Machine Learning

Workshop on Machine Learning

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Duration: 1 days
Dates: October 29, 2020
Programme Director: Prof. Rajneesh Chauhan
Fees: Rs. 8,000 (Non-Residential), Rs. 16,000 (Residential) Plus GST @18%

INTRODUCTION:

Corporate Social Responsibility (CSR) measures for both public and private sector corporations in India have gathered a certain momentum due to economic reforms and globalization pressures. The formulation of the Companies (Corporate Social Responsibility Policy) Rules, 2014 (“CSR Rules”), by the Ministry of Corporate Affairs (MCA), GOI under section 135 of the Companies Act, 2013 schedule VII was a welcome Development. A holistic framework has been given to the industry in the form of the CSR legislation so that strategic planning of their CSR activities would help them to measure the impact of the deliverables at the end of the year. This has also ensured a gradual shift from the traditional model of social welfare to a more strategic CSR model that fits in with the long-term objective of the company. This new avenue of funding national development agenda believed as a new financing and PPP model for sustainable development to developing nations. Companies are strategizing their CSR investment to gain global competitive advantage. Third year of implementation of CSR legislation would be going to end on March 31, 2017. There are some companies who are doing exceptionally good work while some are catching up and some who are still struggling to understand the issues and challenges related to agenda building, operational issues, implementation and especially how to create their own parameters for impact assessment & measurement and reporting practices. Therefore, it is important to ensure that the investment in CSR initiatives must create 'shared value' both for the business and society at large.

OBJECTIVES:

This program has been designed

  • To introduce users to theoretical concepts of Machine Learning
  • To introduce users to R software
  • Enable users to do a hands on Machine Learning

The course is a hands on Course.

CONTENTS:

  1. Introduction to Machine Learning
  2. Various Algorithms of Machine learning
  3. Introduction to R for Machine Learning
  4. Execution of Machine Learning Algorithms using R

METHODOLOGY:

This is a completely hands on course. One person one Computer. The necessary data files, program files and handouts will be provided during the training.

TARGET ORGANIZATIONS:

Any organization seeking to reap the power of Machine learning

TARGET PARTICIPANT:

Managers and Data Analysts who would like to learn Machine Learning and apply the same in their day to day working.

FACULTY PROFILE:

Prof. (Dr) Rajneesh Chauhan, He was with Infosys, where he was the “Operations & Strategy” Head for Enterprise Solutions, a strategic business unit with annual revenues of 1000 Million USD, 10,000 employees and CAGR of 33 %. He was a part of Infosys Senior Management, was two levels below the Global Infosys Board and reported into an Infosys Subsidiary Board member. With more than two decades in the area of Operations Management, IT & ERP, he has worked extensively with Fortune 500 clients across Asia-Pacific, Europe and Americas. Some of his Global Clients included Daimler Chrysler, Syngenta, Rio Tinto, Allstate, Firmenich. His Indian clients include Sesa Goa (Vedanta), Reliance Power, Maruti, JK Tyres, Jindal Steel, Group 4 Securitas, SAIL, Engineers India Limited, Power Grid, Ministry of Corporate Affairs (MCA21), Indian Railways, etc. Over the years he has worked extensively with Government, Public and Private Sector Clients. His interests include Operations Management, IT, Machine Learning, FinTech and ERP. He has worked on a variety of Enterprise and Business Softwares including SAP, SAS, R Software, Microsoft Office Suite, Ramco ERP Suite, SPSS etc. He can be reached at .

Executive Education/MDPs

FORE School of Management has been designing, developing and conducting innovative Executive Education (EE)/ Management Development Programmes (MDPs) for working executives in India for over three decades.