AL-702 (B) · Advance Machine Learning/Official Syllabus
Advance Machine Learning (AL-702 (B)) - Official Syllabus (AL-702)
1
Unit 1
UNIT-1 :Introduction
- Algorithms and Machine Learning
- Introduction to algorithms
- Tools to analyze algorithms
- Algorithmic techniques :Divide and Conquer
- examples Randomization Applications
2
Unit 2
UNIT- 2 : Algorithms
- Graphs maps Map searching
- Application of algorithms :stable marriages example
- Dictionaries and hashing
- search trees
- Dynamic programming
3
Unit 3
UNIT-3 : Application to Personal Genomics
- Linear Programming NP completeness
- Introduction to personal Genomics
- Massive Raw data in Genomics
- Data science on Personal Genomes
- Inter connectedness on Personal Genomes
- Case studies
4
Unit 4
UNIT-4 : Machine Learning
- Introduction
- Classification Linear Classification
- Ensemble Classifiers
- Model Selection
- Cross Validation
- Holdout
5
Unit 5
UNIT-5 : Machine Learning Applications
- Probabilistic modelling
- Topic modelling
- Probabilistic Inference
- Application :prediction of preterm birth
- Data description and preparation
- Relationship between machine learning and statistics
6
Unit 6
== END OF UNITS==
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