Machine Learning for Business Managers

Introduction:

Given the current state of advancing in technology and its absorption in the business it is clear that next few years will witness far reaching transformations in every area. Yesteryear’s bleeding edge technologies such as SMAC and Digital are now considered as given. We expect spectacular changes in our lives and in businesses with the advent of IoT, Artificial Intelligence, Machine Learning and Robotics. This course addresses issues relating to AI/ML and their impact on businesses.

Machine learning being at the core artificial intelligence we commence with ML concepts and the hands-on practicals. Understanding and solving business problems will be the key here. We will build ML models using various datasets. Having gotten grip of ML we move into the field of AI to discuss some of the implementations and business impact.

This course aims at getting the first-hand experience in Machine Learning using cloud based tools as well as desktop tools. Focus will be on understanding concepts and principles. Although the tools are not central to the learning they will aid in this process of clarifying basics. There will be multiple hands-on exercises. Concepts and usability of Machine Learning, Deep Learning in business will be discussed. 

Course Learning Outcomes:

By the end of this course participants will be able to understand:

  • ML concepts and the hands-on practical.
  • Building ML models
  • Understanding and solving business problems

Completely hands-on program

  • Duration: 4 half days
  • No prior coding knowledge required, will use cloud based GUI tool for doing exercises.
  • Participants need a computer and reasonable connection to Internet
  • Participants will need to download open source software, as required.
  • Note: This program does not include learning any of the languages.

Coverage

 

Theme

Topic 1

Artificial intelligence & Machine Learning

  • Concepts
  • Relationship between AI & ML

Topic 2

ML Introduction

  • Overview – Applied ML
  • Terminology
  • Processes
  • Concept of Model & Algorithm
  • Classification, Regression, Clustering
  • Tools – Cloud, Orange & Weka

Topic 3

Algorithms

  • Introduction
  • Concepts
  • Types

 Topic 4

Evaluation

  • Metrics
  • Model evaluation
 

Pre-processing

  • Features – data transformation
  • Feature selection, engineering
  • Feature extraction

Topic 6

Deep Learning

  • Neural networks
  • Image processing

Topic 7

Orange 3

  • Introduction – panes and help available
  • Classification, regression, Clustering
 

Programme Dates & Fees Details :

Online (Zoom) :

Date

12th, 13th, 19th ,20th June 2021

(Saturday & Sunday)

 Time

Saturday 2.30 pm – 6.15 pm

Sunday 10.00 am – 1.15 pm

 Fees

 Rs. 25,000 + Taxes

(Early Bird & Group Discount available)

 

Apply Now   Download Brochure

Discounts on Fees

 Early Bird for first 5 participants

15%

 Group of 5 to 6 participants

13%

 Group of 3 to 4 participants

10%

 Bhavans Alumni ( SPJIMR, SPCE & SPIT)

15%

 

Contact Details:

 

 

Click for cancellation and refund policy

 
SPJIMR
Bhavan's Campus
Munshi Nagar | Dadabhai Road,
Andheri West | Mumbai - 400 058, India
Reception: +91 22 61454200
Delhi Centre
Bharatiya Vidya Bhavan Campus, 3rd Floor
Gate No. 4, Copernicus Lane
Kasturba Gandhi Marg, New Delhi-110001
Tel: 011-23073121, 011-23006871, ext-871 

Link to SPJIMR Location Google Map