Computers / Data Science / Data Analytics
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Machine Learning for Data Streams
Machine Learning for Data Streams
with Practical Examples in MOA
ISBN: 9780262547833
Publisher: The MIT Press
Pub Date: May 9, 2023
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.
Data Action
Using Data for Public Good
ISBN: 9780262545310
Publisher: The MIT Press
Pub Date: September 20, 2022
How to use data as a tool for empowerment rather than oppression.
Human-Centered Data Science
An Introduction
ISBN: 9780262543217
Publisher: The MIT Press
Pub Date: March 1, 2022
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.
People Count
Contact-Tracing Apps and Public Health
ISBN: 9780262045711
Publisher: The MIT Press
Pub Date: April 6, 2021
An introduction to the technology of contact tracing and its usefulness for public health, considering questions of efficacy, equity, and privacy.
Big Data, Little Data, No Data
Big Data, Little Data, No Data
Scholarship in the Networked World
ISBN: 9780262529914
Publisher: The MIT Press
Pub Date: February 3, 2017
An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities.
Big Data Is Not a Monolith
ISBN: 9780262529488
Publisher: The MIT Press
Pub Date: October 21, 2016
Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics.
Reality Mining
Using Big Data to Engineer a Better World
ISBN: 9780262529839
Publisher: The MIT Press
Pub Date: October 7, 2016
A look at how Big Data can be put to positive use, from helping users break bad habits to tracking the global spread of disease.
Crowdsourced Health
How What You Do on the Internet Will Improve Medicine
ISBN: 9780262034500
Publisher: The MIT Press
Pub Date: March 18, 2016
How data from our health-related Internet searches can lead to discoveries about diseases and symptoms and help patients deal with diagnoses.
Machine Learning for Data Streams
Machine Learning for Data Streams
with Practical Examples in MOA
ISBN: 9780262547833
Publisher: The MIT Press
Pub Date: May 9, 2023
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.
Data Action
Using Data for Public Good
ISBN: 9780262545310
Publisher: The MIT Press
Pub Date: September 20, 2022
How to use data as a tool for empowerment rather than oppression.
Human-Centered Data Science
An Introduction
ISBN: 9780262543217
Publisher: The MIT Press
Pub Date: March 1, 2022
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.
People Count
Contact-Tracing Apps and Public Health
ISBN: 9780262045711
Publisher: The MIT Press
Pub Date: April 6, 2021
An introduction to the technology of contact tracing and its usefulness for public health, considering questions of efficacy, equity, and privacy.
Big Data, Little Data, No Data
Big Data, Little Data, No Data
Scholarship in the Networked World
ISBN: 9780262529914
Publisher: The MIT Press
Pub Date: February 3, 2017
An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities.
Big Data Is Not a Monolith
ISBN: 9780262529488
Publisher: The MIT Press
Pub Date: October 21, 2016
Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics.
Reality Mining
Using Big Data to Engineer a Better World
ISBN: 9780262529839
Publisher: The MIT Press
Pub Date: October 7, 2016
A look at how Big Data can be put to positive use, from helping users break bad habits to tracking the global spread of disease.
Crowdsourced Health
How What You Do on the Internet Will Improve Medicine
ISBN: 9780262034500
Publisher: The MIT Press
Pub Date: March 18, 2016
How data from our health-related Internet searches can lead to discoveries about diseases and symptoms and help patients deal with diagnoses.