Data Warehousing on the Lakehouse - Unifying Data, AI, and Analytics
Unify data, AI, and analytics with the lakehouse architecture. Learn success stories, use cases, and best practices for ingesting, storing, and governing data at scale for SQL and BI workloads using Databricks SQL.
Fairness in Machine Learning with Tulsee Doshi
Explore ML fairness principles, concerns, and mitigation strategies. Learn about Google's approach to inclusive AI development and tools for evaluating and improving fairness in machine learning models.
The New ACM Digital Library - User and Administrator Training
Explore ACM's new Digital Library interface, featuring enhanced search capabilities, user profiles, and administrative tools for efficient access to computing research and publications.
ACM-IMS Interdisciplinary Summit on the Foundations of Data Science
Explore cutting-edge data science topics with leading experts, including deep learning, reinforcement learning, robustness, fairness, and ethics, through keynote talks and panel discussions.
Kolmogorov Complexity for DNA Sequences Analysis in Python
Learn to analyze DNA sequence complexity using Kolmogorov Complexity and Python. Covers theoretical background, Lempel-Ziv algorithm, and practical implementation with code walkthrough and visualization.
Leveraging Unity in the New Age of Digital Twins - Unite Now
Explore how Booz Allen Hamilton uses Unity Reflect to create digital twins, enabling cross-functional collaboration, planning, and cost savings through 3D digital spaces and innovative approaches.
Level Up Your Game Marketing - Unite Now 2020
Discover best practices for scaling and operating mobile F2P games, focusing on retention, game economies, live service campaigns, and growth metrics in this indie game marketing guide.
The Azure Machine Learning Service - Introduction
Explore Azure ML Service's features for scaling, automating, and deploying machine learning pipelines. Learn how it enhances the data science process and addresses key challenges.
Analysis Services - What Is the Difference Between Tabular and Multidimensional Models
Explore the differences between Tabular and Multidimensional models in Microsoft Analysis Services, their use cases, and how to choose the right model for your data analysis needs.
Jump Start on Data Science with an Azure Data Science VM
Learn to quickly set up and use an Azure Data Science Virtual Machine, equipped with essential tools for data science and machine learning projects.
Jupyter Notebooks - An Introduction
Learn to create interactive documents combining code, visualizations, and text using Jupyter Notebooks. Explore features, languages, and applications across various industries.
Dimensional Modeling
Learn key concepts and practices of Dimensional Modeling using the Kimball Method. Explore star schemas, snowflake schemas, surrogate keys, and slowly changing dimensions for effective data warehouse design.
TCGA Biomarkers Identification Using Machine Learning - Complete Walkthrough
Comprehensive walkthrough on using machine learning to identify TCGA biomarkers, covering data preparation, neural network construction, and gene set enrichment analysis.
Comparing scRNA-Seq - Seurat Integration Analysis
Learn to integrate and compare scRNA-Seq datasets from different conditions using Seurat, covering data import, integration, differential expression analysis, and visualization techniques.
Joining Multiple Heatmaps - ComplexHeatMap Tutorial
Learn to combine multiple heatmaps in R using ComplexHeatmap. Master horizontal and vertical merging, customization, and annotations for effective data visualization in bioinformatics.
Creating a Heatmap in R - ComplexHeatmap Tutorial Part 1
Learn to create intricate heatmaps in R using ComplexHeatmap package. Master setup, color customization, title modification, and data ordering for effective visualization of multidimensional genomic data.
Log2 Fold-Change & DESeq2 Model in a Nutshell
Explore log2 fold-change, DESeq2 model, and differential expression analysis challenges. Learn the theory behind DESeq2 and its practical application in R for bioinformatics research.
Clustering and Markers Identification for ScRNA-Seq - Seurat Package Tutorial
Learn to analyze single-cell RNA-seq data using Seurat package, covering data import, QC, normalization, clustering, and marker identification. Gain insights into cell interactions and create visualizations.
RNASeq Analysis - Differential Expressed Genes from FastQ
Comprehensive guide to RNASeq analysis using open-source tools, covering FastQ to DEG identification with Rsubread and DESeq2. Includes step-by-step instructions and practical tips for bioinformatics researchers.
Visual Data Analysis - How, When, and Why
Explore visual data analysis with experts, discussing its benefits, applications, and effective interface design for complex decision-making in various fields.
Built for Profit, Repurposed for Research - Using Advertising APIs to Collect Social Media Data
Explore innovative methods for collecting social media data using advertising APIs, focusing on Facebook's audience estimates for research in migration, poverty mapping, and digital gender gaps.