An AI Engineer Guide to Comet Model Registry Platform
Learn to use Comet's Model Registry for logging, versioning, and deploying machine learning models. Explore key features like model export, registration, and monitoring in this hands-on tutorial using Keras and TensorFlow.
An AI Engineer Guide to Model Monitoring with Comet ML Platform
Learn to monitor AI models in real-time using Comet ML. Explore key features like automatic logging, experiment tracking, and data visualization to ensure optimal model performance in production environments.
A Very First Look at H2O Hydrogen Torch
Explore H2O Hydrogen Torch: a no-code deep learning tool for diverse AI tasks. Learn its capabilities, experiment as novice and expert, and understand prediction pipelines and deployment options.
Getting Started with ESM Metagenomic Atlas with API and Large Language Models
Introduction to Meta AI's ESM Metagenomic Atlas, exploring protein structures and their importance. Covers API usage, large language models, and practical demonstrations using various tools and resources.
Talk to Wikipedia App with Streamlit, GPT-3, OpenAI Embeddings in Python, VS Code
Build an interactive "Talk to Wikipedia" app using Streamlit, GPT-3, and OpenAI embeddings. Learn to integrate APIs, debug in VS Code, and deploy your creation online.
The Evolving Data Leader - Increasing Business Value with Data and AI
Sol Rashidi, CAO of Estée Lauder, discusses updating data leadership strategies to increase business value through AI, product development, and overcoming organizational challenges.
Drug and Vaccine Discovery Using Knowledge Graphs and Apache Spark
Explore how GSK uses knowledge graphs and Apache Spark to build a massive medical database, enabling advanced drug and vaccine discovery through innovative data querying and machine learning techniques.
What is Your Data Worth? Equitable Data Valuation in Machine Learning
Explore equitable data valuation in machine learning, focusing on Data Shapley Value and its applications in healthcare, face recognition, and NLP.
How Slot Machines Are Advancing the State of the Art in Computer Go AI
Explore Monte Carlo Tree Search in computer Go AI, covering its advantages, UCB1 strategy, and recent refinements like AMAF/RAVE, with insights into ongoing research topics.
AI-Powered Streaming Analytics for Real-Time Customer Experience
Explore AI-powered streaming analytics for real-time customer engagement. Learn to capture, process, and respond to data from various sources using Spark Structured Streaming for improved customer experiences.
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.
Why Do Our Models Learn?
Exploring biases in ImageNet and their impact on machine learning models, discussing dataset creation processes and their consequences for real-world applications of AI.
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.
Post Install Optimization for User Acquisition - Unite Now 2020
Discover machine learning techniques for post-install optimization in user acquisition. Learn about neural networks, dynamic CPC, and strategies to identify high-value users and improve UA efforts.
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.
No Substitute for Functionalism
Explores types of variations in consciousness models, proving broad functionalist theories immune to substitution arguments. Discusses implications for consciousness science and functionalism.
Deep Learning Day - Advances in Theory, Systems, and Applications
Comprehensive exploration of deep learning featuring expert talks on scaling, debugging, and advanced techniques. Covers theoretical foundations and practical applications across various domains.
Automated Implementation of Windows-Related Security-Configuration Guides
Explore automated implementation of Windows security guides using NLP and verification techniques. Learn about extraction, research questions, and current limitations in this field.
Scientific Text Mining and Knowledge Graphs - Part 2-1
Explore scientific text mining and knowledge graphs, focusing on phrase mining, named entity recognition, and meta-pattern mining for information extraction in various domains.
Scientific Text Mining and Knowledge Graphs
Explore scientific text mining and knowledge graphs, focusing on sequence labeling, multi-output models, and ensemble learning for information extraction and table component analysis.