AL-702 (D) Machine Learning for Data Science Notes
5 notes for Machine Learning for Data Science, unit by unit.
Notes for AL-702 (D)
- Unit 1 · Short notes Introduction Algorithms and Machine Learning · Introduction to algorithms · Tools to analyze algorithms · Algorithmic techniques: Divide and Conquer · Examples · Randomization
- Unit 2 · Short notes Algorithms Graphs · Maps · Map searching · Application of algorithms: stable marriages example · Dictionaries and hashing · Search trees
- Unit 3 · Short notes Application to Personal Genomics Linear Programming · NP completeness · Introduction to personal Genomics · Massive raw data in Genomics · Data science on personal genomes · Interconnectedness on personal genomes
- Unit 4 · Short notes Machine Learning Introduction · Classification · Linear Classification · Ensemble classifiers · Model selection · Cross validation
- Unit 5 · Short notes Machine Learning Applications Probabilistic modelling · Topic modelling · Probabilistic inference · Application: prediction of preterm birth · Data description and preparation · Relationship between machine learning and statistics
More for AL-702 (D)
Other 7th semester AIML subjects
- AL-701 Computer Vision
- AL-702 (A) AI in Gaming
- AL-702 (B) Advance Machine Learning
- AL-702 (C) Predictive Analytics
- AL-703 (A) Compiler Design
- AL-703 (B) Augmented and Virtual Reality
- AL-703 (C) Agile Software Development
- AL-703 (D) Internet and Web Technology
- AL-705 Skill Development Lab