glitsyn
Glitsyn

Data Analysis

#2

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

2024 • 1 Reader • 527 pages • 5

#3

Cover 5

1 Reader • 5

#4

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

2024 • 1 Reader • 234 pages • 4

#5

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

2015 • 5 Readers

#6

INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.

2002 • 4 Readers • 694 pages

#7

Cover 8

1 Reader • 4

#8

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

2018 • 2 Readers • 496 pages • 4

#9

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

2020 • 1 Reader • 557 pages • 4

#10

Regression and Other Stories

1 Reader

#11

Bayesian Data Analysis

1995 • 3 Readers

#12

A First Course in Causal Inference

2024 • 1 Reader • 4

#13

Cover 4

1 Reader • 5

#14

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

2023 • 1 Reader

#15

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

2021 • 7 Readers • 646 pages • 4

#16

New Foundations for Information Theory: Logical Entropy and Shannon Entropy

2021 • 1 Reader • 113 pages • 5

#17

Probability Theory: The Logic of Science

1999 • 6 Readers • 753 pages

#18

The Simple and Infinite Joy of Mathematical Statistics

2022 • 1 Reader • 4

#19

Modeling Mindsets: The Many Cultures Of Learning From Data

2022 • 1 Reader • 100 pages • 4