Algorithmic Opportunities in Matching Markets
Explore algorithmic opportunities in matching markets, focusing on innovative approaches and their potential impact on economic efficiency and social welfare.
Algorand - The Truly Distributed Ledger
Explore Algorand's innovative blockchain technology, its pure proof-of-stake approach, and how it addresses challenges in distributed ledger systems for enhanced scalability and security.
Frontiers of Machine Learning from the Lens of Retail
Explore cutting-edge machine learning applications in retail, focusing on innovative approaches and their impact on societal networks and consumer behavior.
FrugalGPT: How to Not Get Broke Using GPT4
Learn cost-effective strategies for utilizing GPT-4, maximizing its potential while minimizing expenses. Discover tips and tricks to optimize your usage and get the most value from this powerful AI tool.
Spacelift Tutorial - Effortlessly Build Your CI-CD Pipeline
Learn to automate Infrastructure as Code deployment with Spacelift. Explore key features like stacks, environment variables, policies, and tasks to streamline your DevOps workflow.
Dataset Management for Computer Vision - Important Component to Delivering Computer Vision Solutions
Explore dataset management's crucial role in computer vision solutions. Learn to align business goals, express assumptions, and maintain datasets for successful real-world implementations.
How to Set Up an ML Data Labeling Pipeline - Best Practices and Examples
Learn best practices for building ML data labeling pipelines through crowdsourcing. Explore real-life examples, requirements, and techniques for high-quality labeled data in supervised machine learning projects.
Relationships Matter - Using Connected Data for Better Machine Learning
Explore graph-native ML for enhanced predictions using relationship data. Learn graph feature engineering, ML techniques, and hands-on applications to leverage network structures in your data science models.
Choosing Your Giants: Principles for Navigating Emerging Tech Landscape
Principles for evaluating and adopting emerging technologies, balancing business needs with engineer engagement. Explores case studies and research to create a mindful framework for tech choices in software development.
Containers at Facebook - Advanced Linux, Btrfs, and Systemd Implementation
Explore Facebook's container infrastructure using Linux, Btrfs, and systemd. Learn about advanced file systems, process management, and new kernel features for high-traffic networks.
Secrets and Lies: Protecting Mobile Apps Through Cryptography and Obfuscation
Explore mobile app security, including cryptography, obfuscation, and steganography. Learn practical techniques to protect sensitive data, prevent attacks, and enhance overall app integrity.
ETE 2012 - From 0 to 5,000,000 Downloads: Creating an Advanced Applications Engineering Team
Learn how Comcast built an Advanced Applications Engineering team to develop the XFINITY TV app, driving innovation and meeting mobile app development demands for Xfinity and beyond.
Data Lakehouse and Data Mesh - Two Sides of the Same Coin
Explore how Data Lakehouse and Data Mesh complement each other in modern data management, combining technological advancements with organizational strategies for effective analytics.
Combining Machine Learning and MLflow with Lakehouse Architecture - Data Brew Episode 5
Explore how Quby leverages ML and MLflow with their lakehouse to extract value from IoT sensor data, moving from batch to real-time streaming for energy optimization and customer insights.
Frequently Bought Together Recommendations Using Embeddings - Challenges and Solutions
Explore embedding-based "frequently bought together" recommendations for e-commerce, covering model training, productionization, metrics, and serving strategies. Learn practical tips for large-scale implementation.
Data Mesh in Practice - Beyond the Data Lake for Fashion E-Commerce
Explore Zalando's journey from centralized Data Lake to distributed Data Mesh architecture, emphasizing data ownership, quality, and accessibility through decentralized domain-focused approach and Data Products concept.
User Behavior Hashing for Audience Expansion - Deep Learning Approach
Explore deep learning-based hashing for sequential behavior data, utilizing Spark for large-scale preprocessing and distributed inference on Databricks with Pandas UDF.
Data Mesh in Practice - From Data Lake to Distributed Architecture at Zalando
Explore Zalando's journey from centralized Data Lake to distributed Data Mesh architecture, focusing on data ownership, quality, and accessibility in large-scale e-commerce environments.
Azure and Databricks Enabling Personalized Customer Experience at CVS Health
Explore how CVS Health leveraged Azure and Databricks to personalize customer experiences, implement machine learning models, and drive business value through data-driven decision-making and experimentation.
Deep Learning for Price Action Prediction Using Databricks and AWS
Explore deep learning techniques to enhance price action prediction using Databricks and AWS. Learn to optimize technical indicators and train models with Amazon SageMaker for improved financial forecasting.
Model Explanation and Prediction Exploration Using Spark ML
Explore techniques for explaining non-linear models, showing feature contributions, and performing what-if analysis using Spark ML. Implement these methods to enhance model interpretability and enable interactive prediction exploration.