Displaying 93 resources
Certification Certification
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Hidden Markov Models

This lecture overviews Hidden Markov Models that have many applications in Data Analytics and Signal Analysis. It covers the following topics in detail: Markov Chains. Hidden Markov Chains: Viterbi algorithm, Forward-backward algorithm.

Category
Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Web Search based on Ranking

This lecture overviews Web Search based on Ranking that has many applications in Web Science and Social Media Analytics. It covers the following topics in detail: Architecture of Web Search Engine: Crawler, Indexer, Query Processor.

Category
Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Fourier Transform

This lecture overviews the topics of continuous-time periodic signals, signal frequencies and Fourier Transform (FT).  Its relation to Laplace transform is presented.

Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Orthogonal Signal Transforms. Fourier Series

This lecture overviews Orthogonal Signal Transforms. Fourier Series that has many applications in signal processing, analysis and compression.

Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Signal Sampling

This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis.

Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Introduction to Signals and Systems

This lecture overviews Signals and Systems. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel signals come next.

Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand