Subject Details
Dept     : MBA
Sem      : 2
Regul    : R2023
Faculty : Shamini.S.D
phone  : NIL
E-mail  : shamini.sd.mba@snsct.org
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Lecture Notes

UNIT 1:
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Introduction to AI & ML Technologies/ Applications
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Understanding the Technology Landscape
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Tools & Platforms for organisations to deploy AI & ML solutions
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Tools & Platforms for organisations to deploy AI & ML solutions
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Importance of Data (where to find it, how to store)
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Importance of Data (how to manipulate, and attribute it)
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Storytelling with Data Visualisation Techniques.
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Statistical Foundations
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Statistical Foundations
UNIT 2:
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Introduction to Machine Learning
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Supervised Learning
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Supervised Learning
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Unsupervised Learning
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Unsupervised Learning
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Ensemble Techniques
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Recommendation Systems
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Reinforcement Learning
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Application of Machine Learning
UNIT 3:
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Linear Regression
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Decision Tree
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Random Forest
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Logistic regression
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Logistic regression

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