What is Machine Learning - Lecture 2
Explore machine learning fundamentals, data preprocessing, and Python basics for energy and petroleum applications.
Doing for Sustainability What Open Source Did for Software - Impact Framework
Explore Impact Framework, an open-source tool quantifying software's environmental impact. Learn its history, core concepts, and practical application through a live demonstration.
Quivers, 3D Gauge Theories and Three Manifolds
Explore connections between quivers, 3D gauge theories, and three-manifolds, uncovering relationships and equivalences in theoretical physics and geometry.
Functional Neuronal Networks
Explore functional data analysis integration in deep neural networks, enhancing interpretability and prediction for scalar responses with functional and scalar covariates.
The Second Data Release from the European Pulsar Timing Array - Search for Gravitational Wave Signals
Explore the latest findings from the European Pulsar Timing Array's second data release and its implications for gravitational wave detection.
A Gentle Introduction to Event Streaming and Processing Using Apache Pulsar
Explore event-driven systems, Apache Pulsar's unique capabilities in cloud-native applications, and its advantages over Apache Kafka. Learn about integrating Pulsar with Spring framework.
Reproducible ML Experimentation with Rubicon-ML
Explore reproducible ML experimentation using rubicon-ml, an open-source Python library for capturing and storing model training information in a searchable way, ensuring full reproducibility and audit-ability.
What is Open Work? - Understanding the Expanded Definition of Open Collaboration
Explore the concept of Open Work, encompassing various open initiatives like Open Source, Data, Hardware, Science, Research, and Government.
An Innovative Approach to Giving Back to Open Source Projects That Power Your Business
Explore an innovative approach to corporate open source contribution through RBC's partnership with MLH, supporting JupyterLab-Git development and fostering future tech talent.
The Path to Real-time Data Integration with Open Source
Explore real-time data integration using SymmetricDS, an open-source solution for syncing databases. Learn to set up and scale data replication across various platforms for improved service offerings and customer insights.
Spinning Your Drones with Cadence Workflows, Apache Kafka and TensorFlow
Explore building a real-time drone delivery app using Cadence and Apache Kafka, then apply TensorFlow for machine learning on streaming data to predict busy shops.
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing and Attribution in AI
Explore a comprehensive audit of 1800+ text datasets, examining legal and ethical risks in AI data practices. Gain insights into dataset lineage, licensing, and the divide between open and closed datasets.
Unleashing the Full Potential of Your Recommender System in Production
Improve recommender systems through production monitoring, data insights, and drift detection to enhance performance and drive better business outcomes.
Saga: Continuous Construction and Serving of Large Scale Knowledge Graphs
Explore continuous construction and serving of large-scale knowledge graphs with Saga, an end-to-end platform. Learn about challenges in industrial settings and various graph services.
Transforming the Retail Industry with Transformers
Explore how transformers and language models revolutionize retail data processing, overcoming challenges in deployment and automation for improved business outcomes.
Obtaining Answers from Social Media Data Using Neural Databases
Explore neural databases leveraging NLP transformers to answer queries over text, freeing us from reliance on traditional database schemas for social media content analysis.
Trade-off Between Optimality and Explainability in Machine Learning Models
Explore the trade-off between model explainability and accuracy in AI/ML, focusing on counterfactual explainability and optimization challenges in high-risk applications.
Boosting Retail Margins: Price Optimization with Machine Learning
Discover how machine learning revolutionizes price optimization in retail, boosting gross margins by 28%. Learn algorithms and techniques that led to significant revenue gains in a luxury retail experiment.
Deploying Transformers at Scale - Addressing Challenges and Increasing Performance
Explore challenges and solutions for deploying large-scale Transformer networks, focusing on improving latency, throughput, and cost-effectiveness for processing massive datasets.
Element AI's Knowledge Scout Platform for COVID-19 Research
Découvrez la plateforme Knowledge Scout d'Element AI, conçue pour accélérer la recherche sur le COVID-19 en analysant efficacement des milliers d'articles scientifiques.
Beyond Standard Deep Learning Models for Time Series and Sequences
Explore advanced techniques for temporal data analysis, including confident predictions and adaptive computational time models for improved sequence-to-sequence processing.