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Related lectures (54)
Data-Driven Modeling in Neuroscience: Meenakshi Khosla
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By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Characterisation of Clusters: Homogeneity, Separability
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Explores centroid, medoid, homogeneity, separability in clustering, quality evaluation, stability, expert knowledge, and clustering algorithms.
Introduction to Machine Learning: Basics and Examples
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Introduces the basics of machine learning, covering supervised learning, reinforcement learning, and dimension reduction.
Fast and Effective Analytics for Big Data: Multi-Dimensional Insights
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Explores challenges and solutions in analyzing big multi-dimensional data, focusing on complex data types and anomaly detection.
Block Pulled by a Spring
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Explores the dynamics of a block pulled by a spring under various conditions.
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Funding an Idea: Sources and Steps
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Explores funding an idea, big data analysis, and statistics basics with insights on avoiding common pitfalls.
Deep Learning: Principles and Applications
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Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.
Linear Models for Classification: Multi-Class Extensions
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Covers linear models for multi-class classification, focusing on logistic regression and evaluation metrics.
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Model Assessment: Metrics and Selection
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Explores model assessment metrics, selection techniques, bias-variance tradeoff, and handling skewed data distributions in machine learning.
Regression Trees and Ensemble Methods in Machine Learning
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Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.
Image Classification: Decision Trees & Random Forests
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Explores image classification using decision trees and random forests to reduce variance and improve model robustness.
Digital History: Exploring 20th Century through Press Analysis
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Explores digital history and press analysis, emphasizing the impact of digital tools on knowledge dissemination and historical research.
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