Getting ML Right in a Complex Data World
Explore efficient ML experimentation using data versioning tools to reproduce iterations, capture training data versions, and build intuitive infrastructure without duplicating resources.
Labeling Tools are Great, but What About Quality Checks?
Explore effective quality control strategies for data labeling in machine learning, ensuring accuracy and reliability in AI model training.
Training and Evaluating LLaMA2 Models with Argo Workflows and Hera
Comprehensive guide to train and evaluate LLaMA2 models using Argo Workflows and Hera SDK. Covers setup, data preprocessing, model training, and performance assessment with cloud-native tools.
Building an LLM Fine-Tuning Dataset - From Reddit Comments to QLoRA Training
Learn to build a QLoRA fine-tuning dataset for language models using Reddit data. Covers data acquisition, processing, structuring, and training sample creation, culminating in QLoRA training and results analysis.
Flood Detection with YOLO V8 Segmentation - One-Class Image Segmentation
Learn to detect floods using Yolo V8 image segmentation. Covers dataset preparation, model training, and testing on new images to generate segmentation masks highlighting flooded areas.
Machine Learning with EEG Time-Series - Easy Python Project - Part 0
Learn to classify EEG data between awake and asleep states using Python and random forest. Covers data loading, preprocessing, feature engineering, and machine learning implementation.
HTTP Time Bandit
Explore HTTP-based Denial of Service attacks, focusing on a novel method using time-based techniques. Learn about attack classification, mitigation strategies, and tools for identifying vulnerabilities in web applications.
Implications Tutorial - AI on the Ground Approach
Explore the real-world impact of AI through case studies, examining challenges, harms, and social implications. Learn strategies for studying AI's effects on communities and society.
From the Total Survey Error Framework to an Error Framework for Digital Traces of Humans
Explore error frameworks for digital human traces, bridging survey methodologies with computational approaches to enhance data quality and interpretation in social research.
Sweet Security - Deploying a Defensive Raspberry Pi
Explore defensive network security using Raspberry Pi, covering monitoring, log analysis, threat intelligence, and automation for a cost-effective home or small business solution.
Drinking a River of IoT Data with Akka.NET
Explore scaling IoT data processing with Akka.NET's actor model. Learn stateful coding, resilience, and strategies for handling millions of devices efficiently.
Applying Machine Learning to User Behavior Anomaly Analysis
Explore advanced machine learning techniques for user behavior anomaly detection in cybersecurity, covering feature selection, data quality, behavioral whitelisting, and neural network predictions.
The Security Wolf of Wall Street - Fighting Crime With High-Frequency Classification
Explore real-time threat detection using machine learning on massive DNS data. Learn about Avalanche stream processing and NLP-Rank for automated phishing detection at scale.
This Is Not Your Grandfather's SIEM
Explore modern CSOC analytic platforms, their design considerations, and evolving approaches to security event monitoring, analysis, and response in complex cybersecurity environments.
How De-normalizing Your Data with JSON Can Boost Query Performance
Explore how de-normalizing data with JSON can enhance query performance, reduce joins, and improve code readability in hybrid SQL/NoSQL databases for better overall efficiency.
Using Kubernetes for Machine Learning Frameworks
Learn to leverage Kubernetes for training and deploying machine learning models using TensorFlow, Apache MXNet, and PyTorch. Explore isolation, auto-scaling, and GPU support for efficient ML workflows.
Make a Great-Looking 3D Landscape Visualization
Learn to create stunning 3D landscape visualizations in the browser, from data acquisition to rendering. Master industry-standard tools and techniques for optimizing geometry, images, and packaging data.
Drinking a River of IoT Data with Akka.NET
Explore scaling IoT data processing with Akka.NET. Learn actor model implementation for stateful, concurrent code, and discover strategies for handling millions of devices efficiently.
3rd Party Data Burns
Explore third-party data analysis techniques, focusing on normalization, wildcards, and domain keys. Learn valuable lessons for effective red-teaming and data management.
Scaling Machine Learning with Spark
Learn to build scalable machine learning solutions using Apache Spark, MLlib, MLflow, TensorFlow, and PyTorch. Explore distributed computing concepts, manage ML lifecycles, and combine Spark with deep learning for end-to-end workflows.
Repository Data Mining on GitHub
Explore data mining techniques on GitHub repositories, covering machine learning, text classification, and collaborative development practices for enhanced project insights and efficiency.