Lecture

PCA: Key Concepts

Related lectures (65)
Principal Component Analysis: Dimensionality Reduction
Explores Principal Component Analysis for dimensionality reduction in machine learning, showcasing its feature extraction and data preprocessing capabilities.
Feature Selection
Explores feature selection methods, pitfalls, and normalization techniques for optimal model performance.
Square Mosaic: Compression and Decompression
Explores image compression and decompression using square mosaic technique.
General Defocus Particle Tracking
Explores the adaptation of an algorithm for microscopic particle tracing using defocusing properties of a single camera.
Technological Evolution: CPUs & Storage
Explores the evolution of CPUs and storage technologies, RAM bit-flipping, Big Data applications, and technical challenges.
Machine Learning Opportunities in IoT EraMOOC: IoT Systems and Industrial Applications with Design Thinking
Explores machine learning opportunities in the IoT era, covering training algorithms, distributed learning, and privacy techniques.
Verifying Programs with Stainless: An Extended Example
Explores program verification using Stainless with a focus on the Quite OK Image Format (QOI) and its Scala implementation.
PCA and Kernel PCA
Explains how PCA eliminates dimensions by finding principal components with most variation and compares PCA with Kernel PCA.
Applications of Kernel CCA
Covers the diverse applications of Kernel Canonical Correlation Analysis, showcasing its effectiveness in various domains.
Diffusion Mechanisms in Solids
Explores diffusion mechanisms in solids, including vacancy and interstitial mechanisms, correlation between jumps, and structural influences on diffusion.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.