Page 13 - Artificial Intellegence_v2.0_Class_12
P. 13
Duration
Unit Different aspects of Model Topics 10 hours to
MODEL LIFECYCLE (KNOWLEDGE) Lifecycle of an AI model
complete basic
o Train, test, validate,
levels.
o What are hyper parameters
o Commonly used platforms to build and run models (Introduction)
o Recommended tools
o Links to different platforms
Watson
o
o Build
o Deploy
o Retrain
The Need for Storytelling 15 hours to
o Information processing and recalling stories complete basic
o Why is storytelling important? levels.
o Structure that story!
How to create stories?
o Begin with a pen-paper approach
o Dig deeper to identify the sole purpose of your story
o Use powerful headings
o Design a Road-Map
Ethics of storytelling
o Conclude with brevity
STORY-TELLING THROUGH DATA (CRITICAL AND CREATIVE THINKING SKILLS) Stories During the Steps of Predictive Modeling
Types of Data and Suitable Charts
o Text [Wordclouds]
o Mixed [Facet Grids]
o Numeric [Line Charts/ Bar Charts]
o Stocks [Candlestick Charts]
o Geographic [Maps]
o Data Exploration
o Feature Visualizing
o Model Creation
o Model Comparisons
Best Practices of Storytelling
Reference Material /Online Resources:
o Analytics Vidhya
(https://www.analyticsvidhya.com/blog/2020/05/artstorytelling-analytics-data-science/)
o Udemy:
(https://www.udemy.com/course/tell-a-story-with-data/)
o Coursera:
(https://www.coursera.org/learn/intro-business-analytics)
o Coursera:
(https://www.coursera.org/learn/communicate-withimpact) 30 hours
Student capstone project development
STUDENT PROJECT WORK (PRACTICAL) Students to form teams and work on developing an AI based project
Resources like the AI Project Guide and AI Project Log Book to be used
(xi)

