Discrete Probability Distributions Courses and Certifications

Contemporary Math Remediation

Strengthen mathematical reasoning, problem-solving, and statistical skills through engaging video lessons and quizzes. Master contemporary math concepts from probability to graph theory.

• Study.com
• 14 hours 8 minutes
• Self-Paced
• Paid Course

Contemporary Math for Teachers: Professional Development

Enhance teaching skills with engaging lessons on mathematical reasoning, statistics, probability, voting mathematics, and graph theory for professional development and licensure renewal.

• Study.com
• 14 hours 8 minutes
• Self-Paced
• Paid Course

ExcelIsFun

Excel for Statistical Analysis in Business and Economics

Master statistical analysis using Excel with comprehensive coverage of descriptive statistics, probability distributions, hypothesis testing, and data visualization techniques.

• YouTube
• 23 hours 52 minutes
• Self-Paced
• Free Video

AnalystPrep

Discrete Mixtures and Parameter Mixing for Probability Distributions - SOA Exam P

Master probability concepts for discrete mixtures through practical insurance and manufacturing examples with focus on joint, conditional, and marginal distributions.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

ExcelIsFun

Excel Statistical Analysis for Business and Economics

Master statistical analysis for business using Excel's powerful tools, from descriptive statistics to hypothesis testing and regression analysis.

• YouTube
• 22 hours 27 minutes
• Self-Paced
• Free Video

Alfredo Canziani

NYU Artificial Intelligence - Introduction to Machine Learning Fundamentals

Discover fundamental AI concepts including Naïve Bayes classification, perceptron algorithms, logistic regression, and optimization techniques through NYU's comprehensive curriculum.

• YouTube
• 6 hours 11 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Advances in Applied Probability II

Explore cutting-edge research in applied probability, covering statistical learning, high-dimensional computation, Monte Carlo methods, discrete probability, percolation, and empirical methods. Gain insights from leading experts.

• YouTube
• 3 hours 2 minutes
• Self-Paced
• Free Video

Instituto de Matemática Pura e Aplicada

Convergence of Globally Centered Discrete Snakes

Explore convergence of globally centered discrete snakes in this advanced mathematics talk. Gain insights into discrete probability and network analysis from expert Rivka Mitchell.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

IEEE

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems

Explore timing and floating-point vulnerabilities in differential privacy systems, uncovering potential privacy leaks and discussing mitigation strategies for enhanced data protection.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Simons Institute

Parallel Discrete Sampling via Continuous Walks

Explore innovative techniques for sampling discrete distributions using continuous walks, with applications in determinantal point processes and directed Eulerian tours.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

IEEE

Isotropy and Log-Concave Polynomials

Explore isotropy and log-concave polynomials in accelerated sampling and high-precision counting of matroid bases, covering techniques like negative dependence and instant mixing.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

USC Probability and Statistics Seminar

Sample Amplification: Increasing Dataset Size Even When Learning is Impossible

Explore sample amplification techniques to generate larger datasets from limited samples, even when learning the original distribution is impossible.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

ACM SIGPLAN

Foundations of Type-Driven Probabilistic Modelling

Explore type-driven abstractions for probabilistic modelling, covering discrete probability and quasi-Borel spaces. Gain hands-on experience through accompanying exercises for self-study.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

ACM SIGPLAN

Compiling Probabilistic Programs for Variable Elimination with Information Flow

Explore a novel approach to variable elimination and marginal inference in probabilistic programming, featuring bounded recursion and discrete distributions, with compiler-based optimization techniques.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Simons Institute

Towards Understanding Generalization Properties of Score-Based Losses

Explore score-based losses as alternatives to maximum likelihood in generative models, examining their statistical efficiency and connections to diffusion algorithms for improved model design.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video