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.
Access 2021 Advanced Tutorial
Comprehensive tutorial on advanced Microsoft Access features, covering form design, automation with macros and VBA, database security, and customization options for improved efficiency and functionality.
Excel 2019 - Intro to Data Analysis Tutorial
Learn essential data analysis techniques in Excel 2019, including table formatting, conditional functions, charting, and pivot tables. Gain skills to effectively analyze, summarize, and visualize your data.
Excel VBA Advanced Tutorial
Master advanced Excel VBA techniques to automate processes, create custom tools, and enhance productivity. Learn to build macros, use complex functions, and develop custom solutions for data analysis and workflow optimization.
Excel 2019 Power User Tutorial
Advanced Excel techniques for data analysis, including VLOOKUP troubleshooting, INDEX MATCH, PivotTables, array formulas, conditional formatting, and macros. Ideal for users seeking to enhance efficiency and problem-solving skills.
Excel 2019 Advanced Tutorial
Master advanced Excel skills: named ranges, complex functions, data analysis tools, and macros. Boost efficiency and tackle sophisticated spreadsheet tasks with confidence.
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.
Access Beginner Tutorial
Comprehensive tutorial on Microsoft Access 2021 covering database creation, table design, data import, relationships, queries, forms, reports, and advanced features for beginners to experienced users.
Real Time Data Science Made Easy
Discover strategies for building efficient real-time data science systems. Learn about data movement, design patterns, and best practices for writing, testing, and reproducing analytics in real-time environments.
Importing Lab Data to a Jupyter Notebook Using Pandas
Learn to import lab data into Jupyter notebooks using pandas, access and manipulate the data, and create plots with customized labels for effective data analysis and visualization.
Interview - Mark Ledwich - Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization
Exploring YouTube's recommendation algorithm and its impact on political content consumption, debunking claims of radicalization and revealing preferences for mainstream media.
Auditing Radicalization Pathways on YouTube
Critical analysis of YouTube's alleged radicalization pipeline, examining user behavior, content recommendations, and community intersections to evaluate claims of systematic progression towards extreme ideologies.
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Explores challenges in unsupervised learning of disentangled representations, questioning assumptions and efficacy of current approaches through theoretical analysis and extensive experiments.
Do ImageNet Classifiers Generalize to ImageNet? - Paper Explained
Exploring ImageNet classifiers' generalization capabilities through new test datasets, revealing surprising accuracy drops and insights into model performance on slightly "harder" images.
Linear Spaces of Symmetric Matrices - SIAM SAGA Seminar
Explore linear spaces of symmetric matrices, their algebraic geometry, and applications in statistics and optimization with Bernd Sturmfels in this advanced mathematics seminar.
Nonlinear Spectral Decompositions in Imaging and Inverse Problems
Explore nonlinear spectral decompositions in imaging and inverse problems, covering variational theory, applications, and computational methods for nonlinear eigenfunctions.
Multivariate Portfolio Choice via Quantiles
Explore multivariate portfolio optimization using quantiles, extending univariate approaches to solve complex financial problems and develop new numerical solutions for multivariate preferences.
Traditional Methods for Similarity Search - Jaccard, W-Shingling, Levenshtein
Explore three traditional similarity search methods: Jaccard Similarity, w-shingling, and Levenshtein distance. Learn their applications in language comparison and document matching for effective search engines.
How to Build Custom Q&A Transformer Models in Python
Learn to fine-tune pre-trained transformer models for question-answering using HuggingFace and PyTorch. Gain practical skills in NLP and unlock the power of transformers for custom Q&A applications.
Building a Plotly GME Chart in Python
Learn to create an interactive stock chart for GameStop using Python, PlotLy, and AlphaVantage API, exploring the coding process from concept to implementation.
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.