Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Input Representation & Feature Engineering

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (42)

Machine Learning for Feature Extraction Log in to Mediaspace to watch this video

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.

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.

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.

Dimensionality Reduction: PCA & t-SNE Log in to Mediaspace to watch this video

Explores PCA and t-SNE for reducing dimensions and visualizing high-dimensional data effectively.

Feature Engineering: Polynomial Regression Log in to Mediaspace to watch this video

Covers fitting linear regression on features of the original predictors for flexible feature representation.

Strategic Marketing: Understanding Customer Needs and Value Proposition Log in to Mediaspace to watch this video

Explores strategic marketing, customer needs, and value proposition for successful marketing strategies.

Deep Learning: Dimensionality and Data Representation Log in to Mediaspace to watch this video

Delves into deep learning's dimensionality, data representation, and performance in classifying large-dimensional data, exploring the curse of dimensionality and the neural tangent kernel.

Machine Learning at the Atomic Scale Log in to Mediaspace to watch this video

Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.

Decision Trees and Random Forests: Concepts and Applications Log in to Mediaspace to watch this video

Discusses decision trees and random forests, focusing on their structure, optimization, and application in regression and classification tasks.

Machine Learning in Molecular Dynamics Log in to Mediaspace to watch this video

Explores the application of machine learning in molecular dynamics and materials, emphasizing the creation of meaningful features and the importance of generalizability.

Convolutional Neural Networks: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of Convolutional Neural Networks, including training optimization, layer structure, and potential pitfalls of summary statistics.

Lasso and MNIST Basics Log in to Mediaspace to watch this video

Introduces Lasso regularization and its application to the MNIST dataset, emphasizing feature selection and practical exercises on gradient descent implementation.

Reinforcement Learning Concepts Log in to Mediaspace to watch this video

Covers key concepts in reinforcement learning, neural networks, clustering, and unsupervised learning, emphasizing their applications and challenges.

Machine Learning and Modern AI: SWOT Analysis Log in to Mediaspace to watch this video

Covers a SWOT analysis of Machine Learning and Artificial Intelligence, exploring strengths, weaknesses, opportunities, and threats in the field.

Document Analysis: Topic Modeling Log in to Mediaspace to watch this video

Explores document analysis, topic modeling, and generative models for data generation in machine learning.

Kernels: Nonlinear Transformations Log in to Mediaspace to watch this video

Explores kernels for simplifying data representation and making it linearly separable in feature spaces, including popular functions and practical exercises.

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

Introduces the basics of machine learning, emphasizing the use of Piazza for class-related communications and practical exercises in Python.

Supervised Learning: Classification Algorithms Log in to Mediaspace to watch this video

Explores supervised learning in financial econometrics, emphasizing classification algorithms like Naive Bayes and Logistic Regression.

Clustering: Principles and Methods Log in to Mediaspace to watch this video

Covers the principles and methods of clustering in machine learning, including similarity measures, PCA projection, K-means, and initialization impact.

Deep Learning: Data Representations and Neural Networks Log in to Mediaspace to watch this video

Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.

Page 2 of 3