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ML for Microbial Genomics by Janani Ravi

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Machine Learning Courses Logistic Regression Courses Biomedicine Courses Bayesian Methods Courses Deep Networks Courses

Course Description

Overview

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Explore machine learning applications in microbial genomics through this comprehensive lecture. Delve into the intersection of computational techniques and genomic analysis, focusing on how ML can enhance our understanding of microbial systems. Learn about various ML methods applicable to genomic data, including sequence analysis, functional prediction, and population genetics. Discover how these techniques can be leveraged to tackle challenges in microbial research, such as antibiotic resistance prediction, pathogen identification, and microbiome analysis. Gain insights into the latest advancements in the field and understand the potential of ML in revolutionizing microbial genomics research and its implications for healthcare and biotechnology.

Syllabus

ML for Microbial Genomics by Janani Ravi


Taught by

International Centre for Theoretical Sciences

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