Unsupervised Discovery of Temporal Sequences in High-Dimensional Datasets
Explore unsupervised discovery of temporal sequences in high-dimensional datasets using seqNMF, a tool extending convolutional NMF. Learn to extract and validate neural sequences from large-scale recordings.
The Signal and the Noise - Lessons from 20 Years of Data Analysis
Nate Silver shares insights from 20 years of data analysis, focusing on election modeling, forecasting challenges, and lessons learned in interpreting complex data in competitive environments.
Cryptocurrency - Nick Gonella
Explore Bitcoin's inner workings, from blockchain and mining to wallet automation and real-world applications, in this comprehensive overview of cryptocurrency fundamentals.
Deep Learning Pipelines for High Energy Physics Using Apache Spark and Distributed Keras
Explore CERN's Apache Spark-based data pipeline for deep learning in High Energy Physics. Learn about distributed training of neural network classifiers using BigDL and Analytics Zoo for improved event filtering at LHC experiments.
Building a Knowledge Graph with Spark and NLP for Novel Drug Recommendations
Explore drug discovery using knowledge graphs, NLP, and Spark. Learn techniques for efficient data processing, entity recognition, and relationship extraction to enhance pharmaceutical research.
Performance Troubleshooting Using Apache Spark Metrics - Databricks Talk
Explore Apache Spark metrics for performance troubleshooting in distributed data processing. Learn to deploy dashboards, use sparkMeasure, and leverage Spark 3.0 improvements for optimizing workloads.
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.
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.
Structure Invention by Conscious Agents
Explore consciousness as fundamental and the physical world as emergent. Learn about Interface Theory of Perception, Conscious Realism, and evolutionary game theory in this thought-provoking talk.
Automata-Theoretic Approach to Modelling Consciousness Within Mental Monism
Automata-theoretic approach to modeling consciousness in mental monism, exploring constraints and implications for substrate-free models of the mind's structure and dynamics.
MeSH Term Suggestion for Systematic Review Literature Search
Explores methods for suggesting MeSH terms to enhance Boolean queries in systematic review literature searches, evaluating their effectiveness in improving search results and query construction.
Data Science for Assembly Engineering - Sharon C Glotzer
Explore data science applications in assembly engineering, covering self-assembly, crystallization, and machine learning techniques for structural analysis and visualization.
Deep Internal Learning - Deep Learning with Zero Examples
Explore deep learning without external data, focusing on internal learning for tasks like super-resolution and image segmentation. Discover innovative approaches and their applications in various domains.
General Astronomy - The Ancient Views of the Heavens
Explore ancient astronomical perspectives, from practical timekeeping to Greek theories, and their lasting impact on our understanding of the cosmos.
Career Development Workshops for Women in Physics - No Longer Alone
Empowering workshops for women in physics, focusing on career development, skill-building, and networking. Addresses unique challenges and provides tools for success in a male-dominated field.
Report on the Global Survey of Scientists - Analysis and Results
Comprehensive analysis of global scientist survey, exploring career experiences, discrimination, and factors influencing scientific progress across disciplines and regions.
Visualizing Climate Data
Create a climate spiral visualization using p5.js to illustrate temperature changes over time. Learn data handling, polar coordinates, and animation techniques to effectively represent climate data.
Principal Components along Quiver Representations
Explore principal components in quiver representations, a generalization of multi-indexed data tensors, and their applications in optimization and data analysis.
Beyond Lazy Training for Over-parameterized Tensor Decomposition
Explore tensor decomposition in over-parameterized settings, analyzing gradient descent variants and their performance beyond lazy training regimes for improved optimization in neural networks.
Strictly-Correlated Electron Functional and Multimarginal Optimal Transport
Explore convex optimization methods for multi-marginal transport problems in density functional theory, including relaxation techniques and rounding schemes for energy bounds.
Hyper-Optimized Tensor Network Contraction - Simplifications, Applications and Approximations
Explore tensor network contraction optimization through hyper-graph partitioning, simplifications, and approximations, with applications in quantum circuit simulation and beyond.