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Introduction to Machine Learning - Lecture 2

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Machine Learning Courses Supervised Learning Courses Unsupervised Learning Courses Classification Courses Dimensionality Reduction Courses Clustering Courses Feature Selection Courses Model Evaluation Courses Cross-Validation Courses

Course Description

Overview

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Dive into the second lecture of a comprehensive series on machine learning for health and disease applications. Explore fundamental concepts and techniques presented by Saurabh Sinha at the International Centre for Theoretical Sciences. Learn how machine learning can be applied to analyze clinical data, predict patient outcomes, and interpret medical imaging. Gain insights into the intersection of computational methods and healthcare challenges, bridging the gap between mathematical modeling and real-world clinical problems. Discover the potential of machine learning in revolutionizing healthcare practices and improving patient care through data-driven approaches.

Syllabus

Introduction to Machine Learning (Lecture 2) by Saurabh Sinha


Taught by

International Centre for Theoretical Sciences

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