Machine Learning for Business

As the power of the Internet and its ubiquity grows, companies have no choice, but to become competent in understanding and interpreting data. Moreover, with the fourth industrial revolution and disruptive technologies taking center stage, it is imperative for businesses to learn how and what data could help managers in smarter decision making.

ML models are empowering business to draw insights from data, optimize their operations, and drive greater business efficiency. Be it aiding new technologies, like self-driving cars and robotics, or improving old ones, like medical diagnostics and search engines, ML is being extensively used across industries. This has led to a concomitant increase in demand for managers who possess
skills and expertise in the domain of ML.

With the objective of catering to the demand for ML experts, this program will enable you to take the first step toward solving important real-world problems and future-proofing your career. The program provides comprehensive knowledge, skills, and training in ML to solve significant business problems such as advanced trend analysis, generating business intelligence, digital automation, and intelligent manufacturing. The program would probe managers to ask the right questions for data analysis, identify patterns in data, and extract value from data. Thus, the program broadly caters to human resource management, marketing, operations, information technology, strategy, healthcare, finance and other allied functions

Programme Objective

The programme has been designed with the objective to:

  • Gain a foundational perspective of supervised and unsupervised ML.
  • Become familiar with basic techniques of ML that assist in problem-solving, inference, perception, knowledge representation, and learning.
  • Develop systems that process structured and unstructured data using ML techniques.
  • Explore the current scope, potential, limitations, and implications of ML systems.

Content Outline and Topics

  • What, why, and How of Machine Learning?
  • Data and its types
  • Supervised and Unsupervised Learning.
  • Data Exploration and Pre-Processing
  • Feature Selection and Dimension Reduction
  • Regression – Types and Variants (Simple, Multiple, Logistic, Probit)
  • Classification Techniques (K-NN; Naïve Bayes; Decision Trees, Support Vector Machines; Random Forest)
  • Clustering (Non-Hierarchical; Hierarchical; Hybrid)
  • Case studies of successful use of ML in business situations

Pedagogy

This program makes use of a number of highly effective and interactive teaching and training methods, including feedback sessions, case studies, classroom discussions, lectures, presentations and practical exercises.

Participants are divided into small groups designed to foster a high level of interaction among participants and faculty, thereby creating a powerful and enriching learning environment. The program also offers hands on experience of building models using powerful ML tools, such as Orange, and interpret ML models developed and scripted in Python.

The program offers insights on how businesses can adopt and adapt to constant and consistent flow of data and translate them into research and development.

Who should Attend

The Programme is best suited for:

  • Middle-level executives from any organizational function, industry, or sector involved in decision making
  • High-potential and motivated individuals eager to develop an appreciation for understanding business through data
  • Entrepreneurs seeking to develop customer base to advance their business
  • Engineers and technologists wishing to understand business applications of data science
  • Professionals who wish to understand the nuances of ML techniques applicable to diverse business functions

Registration & Fees

The programme is scheduled during October 05-07, 2022 on a residential basis at MDI Campus, Mehrauli Road, Sukhrali, Gurugram. Accommodation for participants would be available at MDI Campus from the noon of October 04, 2022, to the
forenoon of October 08, 2022.

Participants should be nominated by their organizations. The enclosed nomination form should be completed and returned with all the details. The fee of the program is Rs. 37,500/- (Rupees Thirty Seven Thousand Five Hundred only) per participant which includes a professional fee and all charges for lodging and boarding and supply of course materials. GST as applicable will be charged extra in addition to the programme fee. Payment should be made by Cheque/NEFT/RTGS.

Discount Policy

With a view to our long-term relationship with your esteemed organization, we are pleased to introduce the discount policy in a particular programme. The discount will be observed in the following conditions:
• 10% Discount against 3-5 nominations
• 20% Discount against more than 5 nominations