Books — probability

EN
15 Math Concepts Every Data Scientist Should Know

15 Math Concepts Every Data Scientist Should Know

A

David Hoyle

AI and ML
EN
Python for Mathematical Thinking

Python for Mathematical Thinking

A

Pradeep Singh, Balasubramanian Raman

Algorithms and theory
EN
Basic Math for AI: A Beginner’s Quickstart Guide to the Mathematical Foundations of Artificial Intelligence

Basic Math for AI: A Beginner’s Quickstart Guide to the Mathematical Foundations of Artificial Intelligence

A

Andrew Hinton

Algorithms and theory
RU
Shipunov A.B., Baldin E.M., Volkova P.A., et al. Visual Statistics

Shipunov A.B., Baldin E.M., Volkova P.A., et al. Visual Statistics

A

А. Б. Шипунов, Е. М. Балдин, П. А. Волкова

Algorithms and theory
RU
How Not to Be Wrong: The Power of Mathematical Thinking

How Not to Be Wrong: The Power of Mathematical Thinking

A

Джордан Элленберг

Algorithms and theory
RU
Naked Statistics The Most Interesting Book About the Most Boring Science 2016

Naked Statistics The Most Interesting Book About the Most Boring Science 2016

F

Чарльз Уилан

Algorithms and theory
RU
Gladiators, Pirates, and Trust Games: How Game Theory, Strategy, and Probabilities Rule Us

Gladiators, Pirates, and Trust Games: How Game Theory, Strategy, and Probabilities Rule Us

A

Хаим Шапира

Algorithms and theory
RU
Bayesian Models. Bayesian Statistics in the Python Programming Language

Bayesian Models. Bayesian Statistics in the Python Programming Language

A

Аллен Б. Дауни

Algorithms and theory
EN
Statistics Every Programmer Needs

Statistics Every Programmer Needs

A

Gary Sutton

Algorithms and theory
EN
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

A

Thomas Nield

AI and ML
EN
Fundamentals of Data Science with Python

Fundamentals of Data Science with Python

A

Джон М. Ши

Algorithms and theory