Data compression

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Related lectures (31)

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Data Compression and Entropy: Compression

Explores lossless data compression techniques, emphasizing efficient message representation and encoding strategies.

Model Compression: Techniques for Efficient NLP Models

Explores model compression techniques in NLP, discussing pruning, quantization, weight factorization, knowledge distillation, and attention mechanisms.

Data Compression and Entropy 2: Entropy as 'Question Game'

Explores entropy as a 'question game' to guess letters efficiently and its relation to data compression.

Data Compression and Entropy: Basics and Introduction

Introduces data compression, entropy, and the importance of reducing redundancy in data.

Fourier Transform: Compression and Analysis

Covers the Fourier transform, compression techniques, and spectral analysis of periodic signals.

Efforts in Structures II: Maximums and Signs

Analyzes efforts in trusses, emphasizing maximum values and sign distribution in different members.

Compression: introduction

Introduces data compression, exploring how redundancy in data can be reduced to achieve smaller file sizes without losing information.

Efficient Storage for Analytics: Columnar Storage & Compression Techniques

Explores columnar storage, compression techniques, DSM properties, and PAX advantages for analytics.

Applied Topology: Compression Schemes and Range Patches

Explores compression schemes, texture recognition, range patches, evolution, and variants on persistence in applied topology.

Data Compression and Shannon Fano Coding

Explores practical data compression using Shannon Fano coding and the engineering challenges of compressing diverse data types.