Splunk Machine Learning
Aprende a utilizar Splunk Machine Learning Toolkit para análisis de datos, detección de anomalías y predicciones con asistentes especializados y actualizaciones de versiones.
Statistics in Machine Learning
Comprehensive guide to statistics for machine learning, covering fundamental concepts, distributions, hypothesis testing, and practical applications using Python.
PyCaret Tutorial
Automate data science projects and anomaly detection using PyCaret, an open-source library that streamlines machine learning workflows.
Cloud Summit 2021 - Day 3 Sessions on Azure Technologies
Explore diverse Azure topics: custom vision, bot development, SQL, data governance, time series analysis, and application resiliency in this comprehensive cloud technology event.
Anomaly Detection on Streaming Data Using Azure Databricks
Learn to detect numerical anomalies in streaming data using Azure Databricks and Anomaly Detector. Build an end-to-end solution for monitoring applications with real-time anomaly detection capabilities.
New to Anomaly Detector: Multivariate Capabilities - AI Show Live Episode 11
Explore Anomaly Detector's new multivariate capabilities for detecting anomalies across multiple data streams. Learn about use cases, APIs, model training, and real-world applications in this informative session.
TensorFlow Extended - TFX Overview and Pre-Training Workflow
Explore TensorFlow Extended's pre-training workflow, focusing on data validation and transformation for robust machine learning pipelines. Learn key components and best practices for efficient ML development.
An Introduction to Autoencoders - In Python
Learn to build and implement autoencoders in Python for image compression, reconstruction, and various applications like denoising and anomaly detection.
Deep Generative Modeling
Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in image generation and domain transformation.
Redes Neuronales de Grafos para la Prevención de Fraude
Explora el uso de grafos y redes neuronales para detectar phishing en banca empresarial, analizando patrones de conexión entre usuarios e IPs para identificar comportamientos sospechosos.
ISPU内蔵MEMSセンサとNanoEdge AI Studioで異常振動検知ライブラリ作成
ISPU内蔵MEMSセンサとNanoEdge AI Studioを活用し、AI技術による異常振動検知ライブラリの作成手順を実演。高度なデータ処理と機械学習で、モータの異常を効率的に検出する方法を紹介。
Cost-Sensitive Learning for Fraud Detection
Aprenda técnicas avanzadas de aprendizaje sensible al costo para mejorar la detección de fraudes con el Ph.D. Tim Verdonck.
Detection Is Not Enough - Attack Recovery for Safe and Robust Autonomous Robotic Vehicles
Explore novel frameworks for safe attack response in autonomous robotic vehicles, enabling mission continuation despite malicious interventions through feed-forward control and sensor isolation techniques.
Cyber & Data - Introduction to Splunk and Machine Learning
Explore Splunk and machine learning techniques for data analysis, including anomaly detection, prediction, clustering, feature extraction, and preprocessing methods.
Browser Fingerprints for a More Secure Web - AppSecCali 2019
Explore how browser fingerprints can enhance web security by detecting session roaming and preventing account takeovers, using machine learning to identify anomalies in device configurations.
Netflix's Layered Approach to Reducing Risk of Credential Compromise
Discover Netflix's multi-layered security approach to protect against credential compromise, featuring innovative tools and strategies for robust infrastructure protection.
Security Onion Essentials - Detection Engineering
Explore detection engineering in Security Onion, covering workflow essentials for enhancing threat detection capabilities and improving security monitoring effectiveness.
Secure Your Software Supply Chain Using Observability
Explore techniques for enhancing software supply chain security through observability, focusing on key benefits and practical implementation strategies.
Detecting Website Intrusion and Account Compromise with Machine Learning
Explore machine learning techniques for detecting website intrusions and account compromises, covering data analysis, feature engineering, and real-time integration in open environments.
Rapid Development of Anomaly Detection on STM32 Using NEAI Studio - Lab Practice
Implementación rápida de detección de anomalías en STM32 usando NanoEdge AI Studio. Aprenda a desarrollar casos de uso y generar bibliotecas para aplicaciones embebidas en microcontroladores STM32.
Covariance and Subspace Inference: Handling Robustness, Variability and Heterogeneity
Explore covariance matrix inference and PCA for non-regular data, covering mixed effects models, Gaussian assumptions, outlier handling, and applications in radio-interferometry calibration and imaging.