Asymptotic Revenue Equivalence of Asymmetric Auctions
Explore asymptotic revenue equivalence in asymmetric auctions with Gadi Fibich's insightful analysis and mathematical game theory insights.
Small Space Differentially Private Graph Algorithms in the Continual Release Model
Explore sublinear space differentially private graph algorithms for continual release, covering densest subgraphs, k-core decomposition, maximum matching, and vertex cover.
Equilibria of Games with Algorithms
Explore game theory equilibria involving algorithms, focusing on strategic interactions and decision-making processes in computational settings.
Reduced Order Modeling for Finite Element Simulations with MFEM and libROM
Explore reduced order modeling techniques for finite element simulations using MFEM and libROM. Learn to lower computational complexity while maintaining accuracy in various scientific applications.
Основы прикладной геостатистики: Интерполяция, экстраполяция, аппроксимация и вариограммный анализ - Часть 2
Изучите основы прикладной геостатистики, включая интерполяцию, экстраполяцию, аппроксимацию и вариограммный анализ.
Excel 2019 Intermediate Tutorial
Enhance data management skills with advanced Excel techniques, including list design, pivot tables, charts, data validation, and conditional formatting for improved efficiency and analysis.
Excel 2019 Beginner Tutorial
Comprehensive tutorial covering Excel 2019 basics, from interface navigation to formulas, functions, data organization, and time-saving features for beginners and everyday users seeking to enhance productivity.
How LSH Random Projection Works in Search - Python
Explore efficient similarity search using Locality Sensitive Hashing (LSH) and Random Projection. Learn how to handle large-scale data and implement approximate search techniques in Python.
Google Sheets Tutorial for Beginners - 2022 Edition
Comprehensive guide to Google Sheets basics: creating spreadsheets, importing data, formatting, sorting, using functions, filtering, data visualization, and collaboration features.
Michael I. Jordan on the Future of AI and Machine Learning - ODSC West 2019
Renowned AI expert Michael Jordan discusses the future of machine learning, exploring potential billion-dollar industries and addressing key challenges in the field of data science and AI.
Using Tech to Hack Our Bodies and Minds - Promises and Perils of Technology
Explore biohacking, virtual reality, and the future of technology with digital strategist Taryn Southern. Discover how tech innovations are transforming our bodies, minds, and lives, while considering ethical implications and potential benefits.
Learning Logically Defined Hypotheses - Martin Grohe, RWTH Aachen University
Explore a declarative framework for machine learning using logic-defined hypotheses, discussing learnability results for various logics over strings, trees, and graphs.
Introduction to Data Ethics - Brent Mittelstadt
Explore data ethics with Dr. Mittelstadt, covering algorithmic fairness, accountability, transparency, and privacy. Learn about ethical challenges in AI and data analytics, with real-world examples and regulatory insights.
Be Prepared to Show Your Working! - Professor Sir David Spiegelhalter
Explore algorithmic decision-making transparency, validation, and explainability with Professor Spiegelhalter. Learn about the importance of demonstrating trustworthiness and intelligent transparency in automated advice systems.
DataSketches: A Production Quality Sketching Library for Big Data Analysis
Explore sketching algorithms for efficient big data analysis, enabling fast approximate answers to complex queries and real-time processing of massive datasets in production environments.
How Slot Machines Are Advancing the State of the Art in Computer Go AI
Explore Monte Carlo Tree Search in computer Go AI, covering its advantages, UCB1 strategy, and recent refinements like AMAF/RAVE, with insights into ongoing research topics.
Time Series Analysis via Matrix Estimation
Explore matrix estimation techniques for time series analysis, focusing on imputation, algorithms, and theoretical foundations with practical applications in societal networks.
Sketching for Linear Algebra - Basics of Dimensionality Reduction and CountSketch I
Explore dimensionality reduction and CountSketch techniques for efficient linear algebra computations, focusing on regression analysis and subspace embeddings.
Foundations of Data Science II
Explore advanced data science concepts including SVD, Gaussian mixtures, and Markov chains. Learn about randomized algorithms and low-rank approximations for efficient data handling.
Tensor Networks for Machine Learning and Applications
Explore tensor networks in machine learning, their benefits, and applications. Learn about model functions, optimization algorithms, and potential insights for matching architectures to data types.
SEOWNING the Internet - Part 2
Explore advanced SEO techniques and strategies for dominating search engine rankings, presented by industry expert Robert Hansen at LASCON.