3. Classes Of Models
Predictive Models.
Optimization Models.
Risk Analysis Models.
Pattern recognition and
learning Models.
4. Predictive Models
Predictive model is used to predict about unknown
future,by analysing past.
Predictive model improve decision making or to make
profitable decision learning from past experiences.
Applications: Fraud detection, Medical diagnosis,
credit scoring, predict sales and inventory.
5. Correlation Correlation is a statistical technique that can
show whether and how strongly pairs of
variables are related.
There are three possible results of a
correlational study: a positive correlation, a
negative correlation, and no correlation
6.
7. Pattern Recognition And Learning Model
A Pattern is an object process or event that can be given a name.
Pattern recognition is the study of how machine can observe the
environments and taking action according to what they observed.
It focuses on the recognition of patterns.
Examples: Recognizing a face, signatures and characters.
8. Pattern Recognition
System to classify three numbers 1,2,3
In all 3 numbers , we have some lines and curves.
1 2 3
Number No. Of Lines No. Of curves Pattern
1 3 0 (3,0)
2 1 1 (1,1)
3 0 2 (0,2)
10. Risk Analysis Model
“Risk analysis is the estimation of risk associated with the identified
hazards”.
Risk analysis methods used for determining the level of risk of our
business.
Risk analysis methods.
Qualitative risk analysis
Quantitative risk analysis.
11. Comparison
QUALITATIVE RISK ANALYSIS
Performs when numerical data are
inadequate or unavailable.
Compulsory.
Quick and Simple, No specific tools
required
E.g. Brainstorming, Questionnaire,
Judgement of specialist and experts.
Subjective evaluation of probability and
impact.
QUANTITATIVE RISK ANALYSIS
Enable us to assign values of occurrence
to the various risk identified, i.e. to
calculate the level of risk of the project.
Optional.
Take more time. Required specialized
tools
Detailed study.
Objective. Probabilistic estimation of time
and cost.
Low Medium High
12. Optimization Model
It is an art, process of methodology of making system design and decision as fully perfect,
functional or as effective as possible.
Optimization model arises naturally in decision making processes where set of limited
resources must be allocated in the most effective way to different entities.
Application:
Banking Finance.
Logistics supply chain.
Network optimization.
Retail
Media and communication.
14. About the Channel
This channel helps you to prepare for BSc IT and BSc computer science subjects.
In this channel we will learn Business Intelligence , Digital Electronics,
Internet OF Things Python programming , Data-Structure etc.
Which is useful for upcoming university exams.
Gmail: omega.teched@gmail.com
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OMega TechED