Leveraging Reviews - Learning to Price with Buyer and Seller Uncertainty
Explore pricing strategies in online marketplaces using customer reviews and AI. Learn how sellers can optimize prices while helping buyers estimate product value through relevant feedback.
Workforce Transformation: Engaging, Upskilling, and Empowering Employees
Explore workforce empowerment through tech platforms, skills-based education, and networking. Entrepreneurs and executives discuss upskilling, equitable access, and strategies for upward mobility in the modern job market.
Successful Adult Learning Strategies for Career Changers - Insights from a Teacher-Turned-Developer
Former teacher Chris Webster shares insights on successful adult learning, career change strategies, and landing a dream developer job through perseverance and effective learning techniques.
The Power of Belief - Unlocking Personal Potential
Discover how belief shapes reality and unlocks potential. Learn strategies to cultivate a positive mindset, visualize goals, and take action for personal growth and success.
教育データで教え方や学び方を変える - ラーニングアナリティクスの導入と活用
Discover how learning analytics and educational data are transforming teaching and learning methods, from digital textbooks to lecture videos, with practical examples from K-12 and university settings.
Algebraic Calculus One - Free Trial Course May 2020
Exciting new approach to Calculus starting May 1, 2020. Join talented students to raise mathematical understanding with this innovative online course, revolutionizing a fundamental subject.
Live Oud Lesson - Fundamentals and Techniques for Beginners
Explore the enchanting world of Oud music with a live lesson, covering techniques, melodies, and cultural insights for beginners and enthusiasts alike.
Getting the Best of Both Worlds - IoT and Edge Using Hierarchical Inference
Explore hierarchical inference strategies for optimizing IoT and edge computing, focusing on machine fault detection and image classification while balancing accuracy with resource constraints.
Training Neural Networks for Temporal Difference Model Predictive Control - Part 2
Dive into the technical aspects of training neural networks in TD-MPC, covering TD learning, Q network optimization, and data collection strategies for robotic control systems.
Enhanced EEG Data Classification with 3D SNN and Online Learning ESN
Discover a novel hierarchical neural network architecture that combines 3D spiking neurons and Echo state networks for advanced EEG data classification and real-time brain signal interpretation.
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
Delve into stochastic combinatorial semi-bandits with a focus on risk-controlled online decision making, exploring algorithms for optimal subset selection while maintaining variance constraints.
Mistake Bound Learning and the Halving Algorithm - Lecture 8
Dive into mistake bound learning principles and explore the Halving algorithm's role in machine learning theory and practical applications.
Machine Learning: Representations and Learning in Online Systems - Lecture 9
Explore how hypothesis representation choices impact online learning algorithms and their effectiveness in machine learning applications.
How to Build a Real-Time ML Pipeline for Fraud Prediction
Build a real-time ML pipeline for fraud prediction, addressing challenges in online feature engineering and real-time data ingestion. Learn to generate ML features, use a feature store, and monitor for drift.
Overview of Statistical Learning Theory - Part 2
Explore fundamental concepts in statistical learning theory, including capacity control, generalization, and optimization techniques. Gain insights into classic theory and modern applications.
Overview of Statistical Learning Theory - Part 1
Explore fundamental concepts of statistical learning theory, including capacity control, generalization, and optimization techniques. Gain insights into classic theories and their relevance to modern machine learning paradigms.
Large Scale Machine Learning and Convex Optimization - Lecture 3
Explore advanced stochastic optimization techniques for large-scale machine learning, including novel Newton-based methods and combinations of batch and online algorithms for improved convergence rates.
Federated and Collaborative Learning - Session 3
Explore cutting-edge advancements in federated and collaborative learning, including local training methods, online learning with bandit feedback, and insights from leading researchers in the field.
Online Learning in Markov Decision Processes - Part 2
Explore advanced concepts in Markov Decision Processes, including adversarial scenarios, regret analysis, and algorithms for online learning in dynamic environments.
Online Learning in Markov Decision Processes - Part 1
Explore online learning in Markov Decision Processes, covering theory, algorithms, and optimal strategies for reinforcement learning in dynamic environments.
Online Learning and Bandits - Part 2
Explore advanced bandit algorithms, including Exponential Weights, UCB, and Thompson Sampling. Learn design principles and analysis techniques for optimal decision-making in uncertain environments.