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glitsyn
List byGlitsyn

Data Analysis

  • December 10, 2024
  • 18 Books
  • Stats
Card

#2

Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making

Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making
ByBin Yu,Rebecca Barter

2024 • 1 Reader • 527 pages • 5

#3

Cover 5

Interpretable Machine Learning: A Guide For Making Black Box Models Explainable
ByChristoph Molnar

1 Reader • 5

#4

Supervised Machine Learning for Science: How to stop worrying and love your black box

Supervised Machine Learning for Science: How to stop worrying and love your black box
ByChristoph Molnar,Timo Freiesleben

2024 • 1 Reader • 234 pages • 4

#5

Statistical Rethinking: A Bayesian Course with Examples in R and Stan

Statistical Rethinking: A Bayesian Course with Examples in R and Stan
ByRichard McElreath

2015 • 5 Readers

#6

INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.

INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
ByDavid J.C. MacKay

2002 • 4 Readers • 694 pages

#7

Cover 8

Elements of Information Theor 2nd (second) edition Text Only
ByThomas M. Cover

1 Reader • 4

#8

Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information

Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information
ByAmos Golan

2018 • 2 Readers • 496 pages • 4

#9

Advances in Info-Metrics: Information and Information Processing across Disciplines

Advances in Info-Metrics: Information and Information Processing across Disciplines
ByMin Chen(editor),J. Michael Dunn(Editor)

2020 • 1 Reader • 557 pages • 4

#10

Regression and Other Stories

Regression and Other Stories
ByAndrew Gelman

1 Reader

#11

Bayesian Data Analysis

Bayesian Data Analysis
ByAndrew Gelman,John B. Carlin,+2 more

1995 • 3 Readers

#12

A First Course in Causal Inference

A First Course in Causal Inference
ByPeng Ding

2024 • 1 Reader • 4

#13

Cover 4

Causality: Models, Reasoning and Inference
ByJudea Pearl

1 Reader • 5

#14

Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
ByAleksander Molak

2023 • 1 Reader

#15

Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science

Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science
ByAubrey Clayton

2021 • 7 Readers • 646 pages • 4

#16

New Foundations for Information Theory: Logical Entropy and Shannon Entropy

New Foundations for Information Theory: Logical Entropy and Shannon Entropy
ByDavid Ellerman

2021 • 1 Reader • 113 pages • 5

#17

Probability Theory: The Logic of Science

Probability Theory: The Logic of Science
ByE.T. Jaynes

1999 • 6 Readers • 753 pages

#18

The Simple and Infinite Joy of Mathematical Statistics

The Simple and Infinite Joy of Mathematical Statistics
ByJ.N. Corcoran

2022 • 1 Reader • 4

#19

Modeling Mindsets: The Many Cultures Of Learning From Data

Modeling Mindsets: The Many Cultures Of Learning From Data
ByChristoph Molnar

2022 • 1 Reader • 100 pages • 4