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Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

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Related lectures (31)

Page 2 of 4

Genomic Data Analysis: Identifying Differentially Expressed Genes

Discusses methods for identifying differentially expressed genes in genomic data analysis.

Evaluation in NLP

Delves into NLP evaluation, covering gold standards, precision, recall, and statistical significance.

Statistical Tests: T-Tests and ANOVA

Covers the calculation of paired t-tests, advantages/disadvantages of different t-tests, and the concept of ANOVA.

Synchronization

Covers the principles of synchronization in parallel computing, focusing on shared memory synchronization and different methods like locks and barriers.

Statistical Modeling: Estimation and Hypothesis Testing

Covers statistical modeling, estimation, CLT, confidence intervals, and hypothesis testing steps with practical examples.

Model Assessment and Hyperparameter Tuning

Explores model assessment, hyperparameter tuning, and resampling strategies in machine learning.

Hypothesis Testing: T-Test Methodology

Explores hypothesis testing methodology using t-tests and the randomization test.

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Hypothesis Testing: Statistics Overview

Provides an overview of hypothesis testing, p-values, Wald test, and non-parametric statistics.

Synchronization: Hardware Implementation

Explores hardware synchronization methods, including locks, barriers, and critical sections in parallel computing.