Machine Learning Techniques

Machine Learning Techniques

Quizzes from the course content of Machine Learning Techniques subject in the Diploma level of IITM BS in Data Science and Applications

by Shiju P John
Oct 26, 2025
2 Quizzes
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2 quizzes included in this collection

MLT-W1-1.5- Representation Learning 2

MLT-W1-1.5- Representation Learning 2

This quiz assesses your understanding of fundamental concepts in data representation and dimensionality reduction, as described in the provided content. It covers the motivation for finding optimal data representations, the mathematical derivation of the objective function for minimizing reconstruction error, and its solution via eigenvalue decomposition of the covariance matrix. Questions range from conceptual understanding of 'proxies' and 'compression' to detailed steps of algebraic manipulation and the significance of various mathematical terms.

Machine Learning
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MLT-W1-1.4- Representation Learning 1

MLT-W1-1.4- Representation Learning 1

This quiz assesses your understanding of the foundational concepts of machine learning, focusing on unsupervised learning, representation learning, and the principle of 'comprehension as compression.' Questions cover definitions of data points, the goal of unsupervised learning, the mathematical basis of data compression through projection, and the implications of exact vs. approximate reconstruction. It delves into linear algebra concepts such as vector projection and its application in reducing data dimensionality, along with George Chaitin's influential philosophy in the context of learning algorithms. Students are expected to demonstrate a deep understanding of these core mathematical and conceptual underpinnings.

Machine Learning Techniques
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