Old Website
Course Content
Syllabus
1. Equip students with foundational knowledge in AI & ML, including understanding technology landscape, tools/platforms for deployment, data importance, statistical foundations, and data visualization for effective decision-making. 2. Essential concepts in machine learning, including supervised and unsupervised learning, ensemble techniques, recommendation systems, reinforcement learning, and their applications.
0/6
UNIT-I TECHNOLOGY OVERVIEW AND FUNDAMENTALS
UNIT-II UNBOXING ML AND ITS APPLICATIONS
UNIT-III UNBOXING AI AND ITS APPLICATIONS
UNIT-IV AI & ML FOR BUSINESS EXCELLENCE
UNIT-V FRAMEWORKS FOR DELIVERING AI SOLUTIONS
TEXT BOOKS & REFERENCES
Lecture Notes
Artificial Intelligence helps organizations automate processes, improve decision-making, and gain insights from data. Managers play a key role in identifying opportunities, implementing AI solutions, and ensuring ethical use of AI technologies.
0/12
Unit 1-T1
Unit 1-T2
Unit 1 -T3
Unit 1- T4
Unit 1- T5
Unit 1-T6
Unit 1-T7
Unit 1-T8
Unit 1-T9
Unit 2-T1
Unit 2-T2
Unit 2-T3
23BAT615-ARTIFICIAL INTELLIGENCE FOR MANAGERS

Linear Regression – Logistic regression – Decision Tree – random forest – KNN – Neural Networks – Deep Learning & Visualisation – NLP – Text Analytics (Sentiment Analysis, Social Media Analytics).

Previous
Next
screen tagSupport

Report

Harassment or bullying behavior
Contains mature or sensitive content
Contains misleading or false information
Contains abusive or derogatory content
Contains spam, fake content or potential malware

Block Member?

Please confirm you want to block this member.

You will no longer be able to:

  • See blocked member's posts
  • Mention this member in posts
  • Invite this member to groups
  • Message this member
  • Add this member as a connection

Please note: This action will also remove this member from your connections and send a report to the site admin. Please allow a few minutes for this process to complete.

Report

You have already reported this .