Google Sheets Full Course Tutorial
Comprehensive tutorial covering Google Sheets essentials: navigation, formulas, data manipulation, charts, pivot tables, functions, collaboration, and more. Perfect for beginners and intermediate users seeking to enhance spreadsheet skills.
GPU-Acceleration for Pandas, NetworkX, and Apache Spark MLlib - Accelerating Data Science Tools
Discover GPU-accelerated data science tools for pandas, NetworkX, and Apache Spark MLlib. Learn about RAPIDS cuDF, accelerated data processing, and optimizing machine learning pipelines for enhanced performance and accessibility.
Microsoft Excel Intermediate Class - Elevate Your Skills
Elevate your Excel skills with advanced features like Autofill, Flashfill, data sorting, filtering, IF functions, and conditional formatting for improved data analysis and workflow efficiency.
Convex Optimization II - Advanced Techniques and Applications
Explore advanced concepts in convex optimization with Microsoft Research expert Sebastien Bubeck, delving into cutting-edge techniques and applications in this field.
Statistical Learning I - Foundations and Principles
Explore statistical learning fundamentals with Robert Schapire from Microsoft Research, covering key concepts and applications in machine learning and data analysis.
Big Data and Algorithms for Ecology and Conservation Seminar - Daniel Sheldon
Explore big data and algorithms for understanding ecological processes like bird migration, using novel data sources and algorithmic frameworks to revolutionize conservation efforts.
Becoming a Future-Intelligent Leader in 5 Easy Steps
Discover 5 steps to become a future-intelligent leader, protecting humanity in an AI-driven world. Learn to use anticipation and foresight tools for effective leadership in complex, rapidly changing environments.
Physical vs. Logical Indexing with IDEA - Inverted Deduplication-Aware Index
Explores IDEA, a deduplication-aware term-index design that improves efficiency in indexing deduplicated data, reducing index size, indexing time, and lookup latency while supporting advanced functionalities.
Bounding the Interleaving Distance for Mapper Graphs with a Loss Function
Exploring interleaving distance for Mapper graphs, introducing a loss function to measure assignment quality and enable polynomial-time computation for data comparison and clustering.
Vector Databases Explained - Insights, Applications, and Pinecone Tutorial
Explore vector databases, embeddings, and advanced search techniques. Learn how to leverage Pinecone for powerful vector search solutions, with real-world applications and hands-on experience.
Randomized Linear Algebra for Interior Point Methods
Explore randomized linear algebra techniques for efficient interior point methods in linear programming, focusing on applications in data science and scientific computing.
Google Sheets Beginner Tutorial - 2023 Update
Master Google Sheets essentials: navigation, formulas, formatting, data management, and collaboration. Gain practical skills for efficient spreadsheet creation and analysis in this comprehensive beginner-friendly tutorial.
Algebraic Structures in Logic and Query Evaluation - Lecture 3
Explore algebraic structures in logic and query evaluation, focusing on advanced concepts and their applications in database theory and AI.
Methods for Computational Biology and Drug Discovery
Explore fundamental computational methods in physics and chemistry, presented by their creators, with insights into their development and applications.
Mathematics for Deep Neural Networks: Introduction - Lecture 1 of 5
Explore mathematical foundations of deep neural networks, including algorithms, data fitting, and theoretical approaches in this comprehensive overview.
Verifiable Data Science via Interactive Proofs
Explore interactive proofs for verifiable data science, enhancing trust and reliability in scientific computations and analyses.
Algorithmic Decision Making - Exploring Practical Approaches to Liability, Fairness, and Explainability
Explore practical approaches to liability, fairness, and explainability in algorithmic decision-making with industry experts.
TMLS 2019 - Machine Learning Presentation
Explore machine learning insights from industry experts Hoyoung Jang and Cheng Lin at TMLS 2019, gaining valuable knowledge and perspectives on cutting-edge ML applications.
TMLS2019
Explore machine learning applications in personalized recommendations at Netflix, focusing on innovative techniques and challenges in content discovery.
Testing Positive Semidefiniteness and Eigenvalue Approximation - Optimal Algorithms and Novel Approaches
Explore optimal algorithms for testing positive semidefiniteness and eigenvalue approximation, featuring a novel random walk method and innovative techniques for matrix analysis and algorithm optimization.
Microsoft Excel 365 Intermediate Training - 4-Hour Tutorial
Enhance spreadsheet skills with advanced functions, data validation, lookups, sorting, and formatting. Master logical operations, statistical analysis, and efficient data organization techniques.