AI-Powered Learning Platform

Subject Syllabus

AL702 (D) - Machine Learning for Data Science

AIML · Semester 7

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Algorithms and Machine Learning Introduction to algorithms Tools to analyze algorithms Algorithmic techniques: Divide and Conquer, examples Randomization, Applications

Graphs, maps, Map searching Application of algorithms: stable marriages example Dictionaries and hashing Search trees Dynamic programming

Linear Programming NP completeness Introduction to personal Genomics Massive Raw data in Genomics Data science on Personal Genomes Interconnectedness on Personal Genomes Case studies

Introduction Classification Linear Classification Ensemble Classifiers Model Selection Cross Validation Holdout

Probabilistic modelling Topic modelling Probabilistic Inference Application: prediction of preterm birth Data description and preparation Relationship between machine learning and statistics