Books — data science

RU
Fundamentals of Data Visualization: A Guide to Effective and Persuasive Information Presentation

Fundamentals of Data Visualization: A Guide to Effective and Persuasive Information Presentation

A

Клаус Уилке

AI and ML
RU
Theoretical Minimum in Computer Science. Networks, Cryptography, and Data Science

Theoretical Minimum in Computer Science. Networks, Cryptography, and Data Science

A

Владстон Феррейра Фило, Мото Пиктет

AI and ML
RU
Python Programming for Machine Learning

Python Programming for Machine Learning

B

Д. Н. Иванов

AI and ML
RU
Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

B

Игорь Семененко

AI and ML
RU
Building Machine Learning Applications: From Idea to Product

Building Machine Learning Applications: From Idea to Product

A

Эммануэль Амейзен

AI and ML
RU
Silan D., Meisman A. Fundamentals of Data Science and Big Data: Python and Science

Silan D., Meisman A. Fundamentals of Data Science and Big Data: Python and Science

F

Д. Силен, А. Мейсман

AI and ML
RU
Data Science Interview Preparation Guide

Data Science Interview Preparation Guide

A

Ренат Алимбеков

IT management
RU
Recommendation Systems in Practice

Recommendation Systems in Practice

A

Ким Фальк

AI and ML
RU
Development of Intelligent Systems. Introduction to Machine Learning Technology

Development of Intelligent Systems. Introduction to Machine Learning Technology

A

Джефф Хултен

AI and ML
RU
Just Big Data

Just Big Data

A

Жукова М. В., Деменок С. Л.

AI and ML
RU
Applied Linear Algebra for Data Scientists. From Key Concepts to Applications Using Python

Applied Linear Algebra for Data Scientists. From Key Concepts to Applications Using Python

A

Майк Икс Коэн

Algorithms and theory
RU
Data Preprocessing in Python. Volume 1. Tools and Validation

Data Preprocessing in Python. Volume 1. Tools and Validation

A

А. В. Груздев

AI and ML
RU
Streaming Data Pipeline

Streaming Data Pipeline

F

Andrew Psaltis

AI and ML
RU
Stream data processing

Stream data processing

F
AI and ML
RU
Python Basics for Data Science

Python Basics for Data Science

A

Кеннеди Берман

AI and ML
RU
AI Fundamentals

AI Fundamentals

F
AI and ML
RU
Fundamentals of Big Data.PDF

Fundamentals of Big Data.PDF

F
AI and ML
RU
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

A

Томас Нилд

Algorithms and theory
RU
Basic Mathematics for Artificial Intelligence: Next-Level Math for Efficient and Successful AI Systems

Basic Mathematics for Artificial Intelligence: Next-Level Math for Efficient and Successful AI Systems

A

Хала Нельсон

Algorithms and theory
RU
Data Science: A Learning Course

Data Science: A Learning Course

A

Стивен С. Скиена

AI and ML
RU
Machine Learning Without the Fluff

Machine Learning Without the Fluff

A

Андрей Бурков

AI and ML
RU
Mathematical Packages: R

Mathematical Packages: R

D

В. А. Шишкин

Algorithms and theory
RU
Mathematics with Python. Part 1

Mathematics with Python. Part 1

F
Algorithms and theory
RU
Data Visualization: A Complete Course for Beginners

Data Visualization: A Complete Course for Beginners

A

Тамара Манцнер

AI and ML
RU
Machine Learning: Algorithms for Business

Machine Learning: Algorithms for Business

A

Маркос Лопез де Прадо

AI and ML
RU
Cook D. Machine Learning with

Cook D. Machine Learning with

F

Д. Кук

AI and ML
RU
Kondrashov Yu N Data Analysis and Machine Learning on the MS Platform

Kondrashov Yu N Data Analysis and Machine Learning on the MS Platform

F

Ю. Н. Кондрашов

AI and ML
RU
Kapatsa Elena Machine Learning in Simple Language 2023

Kapatsa Elena Machine Learning in Simple Language 2023

A

Елена Капаца

AI and ML
RU
Machine Learning Engineering 2022 Andrey Burkov

Machine Learning Engineering 2022 Andrey Burkov

A

Андрей Бурков

AI and ML
RU
Artificial Intelligence with Python Examples

Artificial Intelligence with Python Examples

A

Пратик Джоши

Programming languages
RU
Learning Ray. Flexible Distributed Computing in Python for Machine Learning

Learning Ray. Flexible Distributed Computing in Python for Machine Learning

A

Макс Пумперла, Эдвард Оукс, Ричард Ляо

Programming languages
RU
A Practical Introduction to Essential Python Libraries and Frameworks (with Code Examples)

A Practical Introduction to Essential Python Libraries and Frameworks (with Code Examples)

B

Мурат Дурмус

AI and ML
RU
Mathematics in Machine Learning

Mathematics in Machine Learning

A

Марк Питер Дайзенрот, А. Альдо Фейзал, Чен Сунь Он

Algorithms and theory
RU
Graph Algorithms. Practical Implementation on Apache Spark and Neo4j Platforms

Graph Algorithms. Practical Implementation on Apache Spark and Neo4j Platforms

A

Марк Нидхем, Эми Ходлер

Algorithms and theory
RU
Python for Data Analysis. Data Processing, Visualization, and Modeling with Python

Python for Data Analysis. Data Processing, Visualization, and Modeling with Python

B

Уэс Маккинни

AI and ML
RU
Data in the fight against customer churn. Analytics, dataset, metrics, and segmentation.

Data in the fight against customer churn. Analytics, dataset, metrics, and segmentation.

A

Карл Голд

AI and ML
RU
Data Visualization with the D3.js Library

Data Visualization with the D3.js Library

A

Andrew Rininsland, Swizec Teller

AI and ML
RU
The Master Algorithm: How Machine Learning Will Change Our World

The Master Algorithm: How Machine Learning Will Change Our World

A

Педро Домингос

Algorithms and theory
RU
Introduction to Machine Learning with Python. A Guide for Data Science Professionals

Introduction to Machine Learning with Python. A Guide for Data Science Professionals

A

Андреас Мюллер, Сара Гвидо

AI and ML
RU
Meta-learning. Applications in AutoML and Data Science

Meta-learning. Applications in AutoML and Data Science

A

Павел Браздил, Ян ван Рейн, Карлос Соарес, Хоакин Ваншорен

AI and ML
RU
Big Data. Why, What, and How?

Big Data. Why, What, and How?

A

Алена Запорожан

AI and ML
RU
Analytical Culture. From Data Collection to Business Results

Analytical Culture. From Data Collection to Business Results

A

Карл Андерсон

AI and ML
RU
Analytics in Power BI with R and Python. Data Loading, Transformation, and Visualization

Analytics in Power BI with R and Python. Data Loading, Transformation, and Visualization

A

Райан Уэйд

AI and ML
RU
Data Science Algorithms and Their Practical Implementation in Python

Data Science Algorithms and Their Practical Implementation in Python

B

А. В. Протодьяконов, П. А. Пылов, В. Е. Садовников

AI and ML
EN
Scaling Python with Dask: From Data Science to Machine Learning

Scaling Python with Dask: From Data Science to Machine Learning

A

Holden Karau, Mika Kimmins

AI and ML
EN
R for Data Science, 2nd Edition

R for Data Science, 2nd Edition

A

Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund

AI and ML
RU
Python and Data Analysis. Primary Data Processing with pandas, NumPy, and Jupyter

Python and Data Analysis. Primary Data Processing with pandas, NumPy, and Jupyter

A

Уэс Маккинни

AI and ML
EN
Python for Data Science For Dummies, 3rd Edition

Python for Data Science For Dummies, 3rd Edition

A

John Paul Mueller, Luca Massaron

AI and ML
EN
Python and R for the Modern Data Scientist: The Best of Both Worlds

Python and R for the Modern Data Scientist: The Best of Both Worlds

A

Rick J. Scavetta, Boyan Angelov

AI and ML
RU
Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

A

Питер Брюс, Эндрю Брюс, Питер Гедек

Algorithms and theory
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