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Related lectures (46)

Introduction to Data Science Log in to Mediaspace to watch this video

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Machine Learning: Supervised and Unsupervised Learning Techniques Log in to Mediaspace to watch this video

Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.

Introduction to Machine Learning: Basics and Examples Log in to Mediaspace to watch this video

Introduces the basics of machine learning, covering supervised learning, reinforcement learning, and dimension reduction.

Deep Learning: Principles and Applications Log in to Mediaspace to watch this video

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.

Regression Trees and Ensemble Methods in Machine Learning Log in to Mediaspace to watch this video

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Visual Intelligence: Machines and Minds Log in to Mediaspace to watch this video

Explores visual intelligence, evolution of eyes, blind spots, biomimicry, and the two-way connection between natural and artificial systems.

Computer Vision: Historical Insights and Project Inspirations Log in to Mediaspace to watch this video

Explores the historical development of computer vision and inspires innovative project ideas.

Introduction to Image Classification Log in to Mediaspace to watch this video

Covers image classification, clustering, and machine learning techniques like dimensionality reduction and reinforcement learning.

Intelligent Agents: Making Decisions and Planning Log in to Mediaspace to watch this video

Covers intelligent agents, decision-making, planning, machine learning, and game theory.

Perceptual Modeling: Understanding Spatial Thinking and Vision Log in to Mediaspace to watch this video

Examines perceptual modeling and spatial thinking in visual intelligence, exploring theories, cognitive maps, and the interplay between bottom-up and top-down processing.

Data Mining: Introduction Log in to Mediaspace to watch this video

Covers the challenges and opportunities of data mining, practical questions, algorithm components, and applications like shopping basket analysis.

Reinforcement Learning for Pacman Log in to Mediaspace to watch this video

Covers the application of reinforcement learning to teach Pacman to play autonomously by trial and error.

Optimization of Paper Planes Log in to Mediaspace to watch this video

Explores the optimization of paper planes and soft structures for thrust generation.

Deep Learning: Multilayer Perceptron and Training Log in to Mediaspace to watch this video

Covers deep learning fundamentals, focusing on multilayer perceptrons and their training processes.

Untitled Log in to Mediaspace to watch this video

Linear Regression: Basics and Gradient Descent Log in to Mediaspace to watch this video

Covers the basics of linear regression, including feature engineering, supervised vs. unsupervised learning, and minimizing the cost function.

Unsupervised Learning: Clustering and Dimension Reduction Log in to Mediaspace to watch this video

Covers unsupervised learning, clustering, and dimension reduction techniques.

Model Selection and Evaluation: Bias-Variance Dilemma, Ridge Estimation Log in to Mediaspace to watch this video

Explores over-learning, generalization, and under-learning in machine learning models.

Graph Search: Neural Networks and Deep Learning Log in to Mediaspace to watch this video

Delves into graph search, neural networks, and deep learning, covering topics like convolutional neural networks and artificial neural networks.

Neural Taskonomy and Historical Perspectives in Visual Intelligence Log in to Mediaspace to watch this video

Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.

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