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Machine Learning (Fall 2015)

UofU Data Science via YouTube

Overview

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Explore comprehensive machine learning concepts through this university-level course featuring 28 lectures delivered over approximately 35 hours of instruction. Master fundamental algorithms, statistical learning theory, and practical implementation techniques as you progress through supervised learning methods including linear regression, classification algorithms, and decision trees. Delve into unsupervised learning approaches such as clustering and dimensionality reduction, while gaining hands-on experience with neural networks and deep learning architectures. Develop proficiency in model evaluation, cross-validation techniques, and bias-variance tradeoffs essential for building robust predictive systems. Learn to apply regularization methods, ensemble techniques, and feature selection strategies to optimize model performance across diverse datasets. Gain practical skills in implementing machine learning solutions using industry-standard tools and libraries, preparing you for real-world data science challenges and research applications.

Syllabus

Machine Learning (Fall 2015) Lecture 1
Machine Learning (Fall 2015) Lecture 2
Machine Learning (Fall 2015) Lecture 3
Machine Learning (Fall 2015) Lecture 4
Machine Learning (Fall 2015) Lecture 5
Machine Learning (Fall 2015) Lecture 6
Machine Learning (Fall 2015) - Lecutre 7
Machine Learning (Fall 2015) Lecture 8
Machine Learning (Fall 2015) Lecture 9
Machine Learning (Fall 2015) Lecture 10
Machine Learning (Fall 2015) Lecture 11
Machine Learning (Fall 2015) Lecture 12
Machine Learning (Fall 2015) Lec 13
Machine Learning (Fall 2015) Lecture 14
Machine Learning (Fall 2015) Lecture 15
Machnine Learning (Fall 2015) Lecture 16
Machine Learning (Fall 2015) - Lecture 17
Machine Learning (Fall 2015) Lecture 18
Machine Learning (Fall 2015) Lecture 19
Machine Learning (Fall 2015) Lecture 20
Machine Learning (Fall 2015) Lecture 21
Machine Learning (Fall 2015) Lecture 22
Machine Learning (Fall 2015) Lecture 23
Machine Learning (Fall 2015) Lecture 24
Machine Learning (Fall 2015) Lecture 25
Machine Learning (Fall 2015) Lecture 26
Machine Learning (Fall 2015) Lecture 27
Machine Learning (Fall 2015) Final Lecture

Taught by

UofU Data Science

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