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Sparse Data

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May 11, 2024 5 minute read

What is Sparse Data?

Imagine you have an excel sheet of fruit consumption data collected from a group of individuals. The excel sheet has 1,000 columns for 1,000 different fruits and 1,000,000 rows for 1,000,000 people. However, most people only eat a handful of fruits and many of the cells in the excel sheet are empty. This excel sheet is an example of a sparse matrix. Sparse matrices are an important and commonly encountered data structure in machine learning.

Why is Sparse Data Important?

Path to Sparse Data

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We've curated two courses to help you on your path to Sparse Data. Use these to develop your skills, build background knowledge, and put what you learn to practice.

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Scaling scikit-learn Solutions

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Pandas Arrays and Data Structures

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We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Sparse Data.

Active Particles, Volume 1

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Comprehensive introduction to sparse modeling. It covers the basics of sparse representations, including compressed sensing, dictionary learning, and sparse coding, as well as applications to image processing, computer vision, and signal processing. The author leading expert in the field.

Active Particles, Volume 1: Advances in Theory,...

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Deep Learning

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Comprehensive introduction to dictionary learning and sparse coding. It covers the basics of dictionary learning and sparse coding, as well as applications to image processing, computer vision, and natural language processing.

Optimization with Sparsity-Inducing Penalties

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Comprehensive introduction to sparse coding for machine learning. It covers the basics of sparse coding, as well as applications to image processing, computer vision, and natural language processing.

Optimization with Sparsity-Inducing Penalties...

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A Stochastic Grammar of Images

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Comprehensive introduction to sparse representations for computer vision. It covers the basics of sparse representations, as well as applications to image processing, computer vision, and object recognition.

A Stochastic Grammar of Images

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Sparse and Redundant Representations

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This paper tutorial on sparse representations. It covers the basics of sparse representations, including compressed sensing, dictionary learning, and sparse coding.

Sparse and Redundant Representations

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Sparse and Redundant Representations

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