3. 1. Problem scoping: Identification of problem,setting
goal,knowing the stakeholders
2. Data acquisition :To acquire(collect) data
3. Data exploration : To understand the data by
3. Data exploration : To understand the data by
using chart,table,graph etc.
4. Modelling: Design of algorithm/Feeding the data
to machine/ to make the data understandable to
machine/training of machine
5. Evaluation: Testing
4. Problem Scoping : Identifying problem,setting goal
and identifying stakeholders of the problem
Link_Kimchi making and associated problem
• https://www.youtube.com/watch?v=RlBxerNfzzI
• https://www.youtube.com/watch?app=desktop&v
=s-XWkWiUJ28
• Understand the problem waching videos linked to
above links also see graph on next slide
• Prepare problem statement template
16. Water logging problem in residential
area
• Our – Common people in cities - Who
• Has a problem – that it disrupts normal life - What
• When – in the rainy season when water logs – Where
• An idela situation will be – a weather prediction to help
people - Why
people - Why
• WHO- Residents of society
• What- Water logging problem during monsoon
• Where—city (in monsoon)
• Why- for people convenience and to help them in
solving the problem
18. • Scenario: As we are social being so love to interact with
others. We love to go out with parent, friends, relatives
and family. Every now and then we visit to the
restaurant that offer buffet. One problem facing by the
restaurant that offer buffet to us that there is buffet
sometimes prepares so much food that it remains
unconsumed. Now what they going to do with
unconsumed food. They can serve the stale food next
day to the customer that's not possible. Either they
day to the customer that's not possible. Either they
throw it away or they make it available to the needy
people. However they not earn anything out of that so
they can suffer with complete loss of revenue occurred
due to unconsumed food. Can you solve this particular
issue using AI project cycle ? If it is possible then think
deeply about this problem and make problem statement
template and system map for this problem.
29. Data Exploration: Filtering Data/Removing
unnecessary data/Data Visualization
Name of dish Quantity of
that dish
prepared per
Quantity of
unconsumed
portion of the
prepared per
day (in KG)
portion of the
dish per
day(in KG)
Palak Paneer 80 10
Chicken
masala
40 5
Fish Curry 40 10
Aaloo Gobhi 70 20
Begun Bharta 30 5
Dal Bati 60 25
30. Visualizing Data using Bar Chart
40
50
60
70
80
90
Quantity of that dish
prepared per day (in KG)
0
10
20
30
prepared per day (in KG)
Quantity of unconsumed
portion of the dish per
day(in KG)
31. Modeling: Design of
algorithm/Training of model
Modelling: Refers to developing algorithms(models) which can be
trained to get intelligent output. Whenever we talk about AI models, it
is the mathematical approach towards analysing data which refers to.
In rule based approach relationship or patterns are defined by developers. Machine
follows the rules or instruction mentioned by the developerand perform its task
accordingly
32. Machine Learning :Enables machine to learn by themselves using provided
data and make accurate predictions/Decisions .Learning by examples.Example:
classification,clustering etc.,
34. Artificial Intelligence : Refers to any techniques that enables computers
to mimic human intelligence.
AI enabled machines think algorithmically and execute what they have been asked for
intelligently
35. Rule Based Appropach(Decision Tree)
Do you follow class lectures
Do you
Follow AI You are not that
NO
yes
Follow AI You are not that
awesome
You are
pretty
awesome
Not that
amazing
yes NO
