Probability for Data Science
Comprehensive introduction to probability concepts for data science, covering fundamental principles, distributions, hypothesis testing, and practical applications in statistical analysis.
Statistics for Data Science
Comprehensive statistics tutorial covering key concepts, distributions, hypothesis testing, and advanced topics for data science applications.
Statistics & Business Maths
Learn fundamental statistical concepts and data presentation techniques for business applications, including central tendency measures and frequency distributions.
Probability Statistics
Comprehensive probability and statistics course covering basic to advanced concepts for business students, including distributions and probability laws.
ICOM Statistics Past Papers Solution
Comprehensive solution guide for ICOM Statistics past papers, focusing on probability questions from 2018-2021 exams with detailed explanations and problem-solving techniques.
Dream Cheating Scandal - Explaining All the Math Simply
Comprehensive breakdown of the math behind the Dream cheating scandal, explaining binomial distribution, biases, and statistical analysis for both novices and math enthusiasts.
On the Propagation of Uncertainty in Network Summaries - Eric Kolaczyk, Boston University
Explore uncertainty propagation in network summaries, focusing on characterization and estimation. Learn about complex networks, noise analysis, and applications in gene coexpression networks.
Theory and Methods Challenges in Counterfactual Prediction - Karla Diaz-Ordaz
Explore causal inference in AI prediction, enhancing algorithms with 'what if' capabilities for decision-making and fairness. Learn about counterfactual prediction challenges and methodologies.
Enriching Latent Class Models With Counterfactual Prediction - Mark Gilthorpe
Exploring counterfactual prediction in AI: enhancing prediction algorithms with 'what if' capabilities for improved decision-making and fairness in healthcare, insurance, and beyond.
Causal Inference on Networks to Characterize Disinformation Narrative Propagation
Explore techniques for detecting and analyzing disinformation spread on social networks using causal inference, focusing on network construction, influence scoring, and bot detection.
Why π Is in the Normal Distribution - Beyond Integral Tricks
Explore the mathematical origins of π in the normal distribution through geometric insights, classic proofs, and the Herschel-Maxwell derivation, offering a deeper understanding beyond integral tricks.
Small Covers for Near-zero Sets of Polynomials and Learning Latent Variable Models
Explore techniques for parameter estimation in Gaussian mixture models and mixtures of linear regressions, focusing on dimension reduction and higher moments to overcome obstacles in learning latent variable models.
Hans Rosling Answers Top Questions from TED and Reddit Community
Hans Rosling addresses top community questions, offering insights on global health, data visualization, and socioeconomic trends in an engaging 18-minute interview with TED and Reddit.
On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations
Explore α-posteriors and variational approximations, examining their robustness to misspecification in machine learning contexts.
A Glimpse into the Fun World of Probabilistic Methods by Moumanti Podder
Explore the fascinating realm of probabilistic methods, uncovering their applications and significance in various fields of mathematics and beyond.
High-Dimensional Expanders - Lecture 1
Explore high-dimensional expanders with Irit Dinur, delving into advanced concepts in analysis and theoretical computer science.
High-Dimensional Expanders - Lecture 4
Explore advanced concepts in high-dimensional expanders, focusing on analysis techniques and applications in theoretical computer science.
High-Dimensional Expanders - Lecture 3
Explore advanced concepts in high-dimensional expanders, focusing on analysis techniques and applications in theoretical computer science.
Cloud Physics - It's Hard but Fun by Rama Govindarajan
Explore the fascinating world of cloud physics, its challenges, and enjoyable aspects in this engaging talk by Rama Govindarajan, delving into the complexities of atmospheric phenomena.
Science-ing Beyond the Lab by Ipsa Jain
Explore science communication beyond traditional research settings. Learn innovative ways to share scientific knowledge through visual storytelling, public engagement, and creative outreach methods.
Graph Alignment: Informational and Computational Limits - Lecture 2
Explore graph alignment challenges, focusing on informational and computational limits. Gain insights into probabilistic and optimization methods for data science applications.