Supervised Learning Algorithms - Lecture 3
Explore supervised learning algorithms, model evaluation, and Python implementation for classification and regression tasks in petroleum engineering and energy transition.
Machine Learning for Petrophysics
Explore machine learning applications in petrophysics with expert Osama Osman, covering key concepts and practical implementations for oil and gas industry professionals.
A Review of Taxonomies of Explainable Artificial Intelligence - XAI Methods
Explore various taxonomies of Explainable AI methods, comparing their structures and implications for understanding and categorizing XAI approaches.
Why Do Tree Ensembles Work?
Explore the statistical properties and effectiveness of decision tree ensembles in classification and regression, covering algorithms, bias-variance decomposition, and advanced interpretations.
Governance & Security Practices for Microsoft 365 Including Microsoft Teams Viva
Explore frictionless governance for Microsoft 365, focusing on secure collaboration, self-service provisioning, and lifecycle management for Teams, Viva, and other services.
How Does Text Become Data
Explore concept-based text understanding and its applications in NLP. Learn to build models of human thinking for search engines, recommender systems, and classifiers using practical examples and code.
Why Security Data Science Matters and How It's Different
Explore security data science challenges and solutions, including machine learning for attack detection, threat intelligence, and malware analysis, with focus on overcoming unique security-specific obstacles.
Simple Machine Learning
Explore basic machine learning approaches for classification in PHP, with real-world applications and practical demonstrations.
Predicting the Future with Machine Learning
Explore machine learning's power to predict future events, from flight delays to sentiment analysis, with practical steps for building and deploying predictive models using Azure tools.
Tensorflow, Deep Learning and Modern RNN Architectures - Without a PhD
Explore modern RNN architectures and deep learning techniques for image recognition, natural language processing, and reinforcement learning. Gain practical tips and engineering best practices for applying these advanced technologies.
The Meaning of Artificial Life
Explore the evolution of AI and data science, from historical origins to modern applications, and gain insights into machine learning, deep learning, and their impact on our understanding of intelligence.
Understanding Machine Learning Algorithms Through Examples
Explore common machine learning algorithms and practices through industry examples, learn to choose the right algorithm, and discover Azure ML solutions for automating tasks without coding.
Secure Because Math - A Deep-Dive on Machine Learning-Based Monitoring
Explore machine learning techniques in information security, their strengths and limitations, and practical applications for incident detection and response. Learn to evaluate ML-based security solutions critically.
Know Thy Enemy - The Taxonomies That Meta Uses to Map the Offensive Privacy Space
Explore Meta's privacy-inclusive taxonomies for tracking weaknesses, adversarial tactics, and scaling detection efforts. Learn how these frameworks enhance privacy threat understanding and align security teams.
Using Behavior to Protect Cloud Servers
Explore cloud server protection through user behavior analysis, covering challenges, threats, and innovative solutions like SSH proxies and machine learning-based classification systems.
Information Architecture - Build It Better
Explore practical tools for improving information architecture, including content inventory, card sorting, and user testing. Learn to enhance user experience and reduce support load.
Machine Learning for a Rescue
Explore machine learning applications in software development, focusing on data-driven approaches to classify developers and predict project outcomes.
XGBoost para clasificación - construyendo modelos precisos y eficientes
Aprende a utilizar XGBoost para crear modelos de clasificación precisos y eficientes, explorando conceptos básicos, técnicas de construcción y evaluación, y ventajas clave de esta poderosa herramienta.
The Shogun Machine Learning Toolbox
Explore the Shogun Machine Learning Toolbox, a powerful framework for data analysis and prediction. Learn key ML concepts, algorithms, and practical applications through intuitive visualizations and Python examples.
Machine Learning Under Test
Explore testing strategies for machine learning algorithms, focusing on code quality, domain-specific challenges, and practical implementation techniques for more robust and reliable ML models.
A Gentle Introduction to Data Science
Explore data science fundamentals, from AI's influence to practical machine learning in Python. Covers key concepts, problem-solving applications, and essential Python tools for aspiring data scientists.