Книги — Анализ данных

RU
SQL для анализа данных. Расширенные методы преобразования данных для аналитики

SQL для анализа данных. Расширенные методы преобразования данных для аналитики

A

Кэти Танимура

AI и ML
EN
Advanced SQL with SAS®

Advanced SQL with SAS®

A

Christian FG Schendera

Базы данных
EN
Statistics and Data Visualisation with Python

Statistics and Data Visualisation with Python

A

Jesús Rogel-Salazar

AI и ML
EN
Real-World Python: A Hacker's Guide to Solving Problems with Code

Real-World Python: A Hacker's Guide to Solving Problems with Code

A

Lee Vaughan

AI и ML
EN
R Programming: A Step-by-Step Guide for Absolute Beginners

R Programming: A Step-by-Step Guide for Absolute Beginners

A

Daniel Bell

Языки программирования
EN
R in Action: Data analysis and graphics with R, Second Edition

R in Action: Data analysis and graphics with R, Second Edition

A

Robert I. Kabacoff

AI и ML
RU
Python — это просто. Пошаговое руководство по программированию и анализу данных

Python — это просто. Пошаговое руководство по программированию и анализу данных

A

Нилаб Нисчал

AI и ML
RU
Python для data science

Python для data science

A

Юлий Васильев

AI и ML
RU
Python для Excel. Современная среда для автоматизации и анализа данных

Python для Excel. Современная среда для автоматизации и анализа данных

A

Феликс Зумштейн

AI и ML
RU
Программируем коллективный разум

Программируем коллективный разум

A

Тоби Сегаран

AI и ML
EN
Practical MongoDB Aggregations: The official guide to developing optimal aggregation pipelines with MongoDB 7.0

Practical MongoDB Aggregations: The official guide to developing optimal aggregation pipelines with MongoDB 7.0

A

Paul Done

Базы данных
EN
Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

A

Ayodele Oluleye

AI и ML
EN
Big Data: Conceptual Analysis and Applications

Big Data: Conceptual Analysis and Applications

A

Michael Z. Zgurovsky, Yuriy P. Zaychenko

AI и ML
EN
Mastering Data Mining with Python – Find patterns hidden in your data

Mastering Data Mining with Python – Find patterns hidden in your data

A

Megan Squire

AI и ML
EN
Mathematics in Cyber Research

Mathematics in Cyber Research

A

Paul L. Goethals, Natalie M. Scala, Daniel T. Bennett (редакторы)

Кибербезопасность
EN
Python for Information Professionals: How to Design Applications to Capitalize on the Data Explosion

Python for Information Professionals: How to Design Applications to Capitalize on the Data Explosion

A

Brady D. Lund, Daniel Agbaji, Kossi Dodzi Bissadu, Haihua Chen

Алгоритмы и теория
RU
R. Книга рецептов: Проверенные рецепты для статистики, анализа и визуализации данных

R. Книга рецептов: Проверенные рецепты для статистики, анализа и визуализации данных

A

Дж. Д. Лонг, Пол Титор

AI и ML
EN
Python for Accounting and Finance: An Integrative Approach to Using Python for Research

Python for Accounting and Finance: An Integrative Approach to Using Python for Research

A

Sunil Kumar

AI и ML
EN
Python for Mathematics

Python for Mathematics

A

Vincent Knight

AI и ML
EN
Data Analytics & Visualization All-in-One For Dummies

Data Analytics & Visualization All-in-One For Dummies

A

Jack Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Lillian Pierson, Jonathan Reichental, PhD, Joseph Schmuller, Alan Simon, Allen G. Taylor

AI и ML
EN
Starting Data Analytics with Generative AI and Python

Starting Data Analytics with Generative AI and Python

A

Artur Guja, Marlena Siwiak, Marian Siwiak

AI и ML
EN
How to Python

How to Python

A

Ben Good

Языки программирования
EN
Applied Statistics: Theory and Problem Solutions with R

Applied Statistics: Theory and Problem Solutions with R

A

Dieter Rasch, Rob Verdooren, Jürgen Pilz

AI и ML
RU
Data Science. Наука о данных с нуля

Data Science. Наука о данных с нуля

A

Джоэл Грае (Joel Grus)

AI и ML
RU
Data Mining. Извлечение информации из Facebook, Twitter, LinkedIn, Instagram, GitHub

Data Mining. Извлечение информации из Facebook, Twitter, LinkedIn, Instagram, GitHub

A

Мэтью Рассел, Михаил Классен

DevOps и Инфраструктура
EN
Data Wrangling Using Pandas, SQL, and Java

Data Wrangling Using Pandas, SQL, and Java

A

Oswald Campesato

AI и ML
EN
Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

A

Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel

AI и ML
EN
Introduction to R for Quantitative Finance

Introduction to R for Quantitative Finance

A

Gergely Daróczi, Michael Puhle, Edina Berlinger, Péter Csóka, Dániel Havran, Márton Michaletzky, Zsolt Tulassay, Kata Váradi, Agnes Vidovics-Dancs

AI и ML
RU
DAX для профессионалов: теория и практика. Выведи свои аналитические навыки в Microsoft Power BI на новый уровень

DAX для профессионалов: теория и практика. Выведи свои аналитические навыки в Microsoft Power BI на новый уровень

A

Мишель Розема, Хенк Влотман

AI и ML
EN
Python and SQL Bible: From Beginner to World Expert

Python and SQL Bible: From Beginner to World Expert

A

Cuantum Technologies

Базы данных
EN
Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools

Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools

A

Saurabh Chandrakar

AI и ML
RU
С# 7.0. Справочник. Скорая помощь дял прогрммистов на C#

С# 7.0. Справочник. Скорая помощь дял прогрммистов на C#

B

Уэс Маккинни

Языки программирования
EN
Learn R: As a Language, Second Edition

Learn R: As a Language, Second Edition

A

Pedro J. Aphalo

AI и ML
EN
A Comprehensive Study of SQL: Practice and Implementation

A Comprehensive Study of SQL: Practice and Implementation

A

Jagdish Chandra Patni

Базы данных
EN
Big Data Using Hadoop and Hive

Big Data Using Hadoop and Hive

A

Nitin Kumar

AI и ML
EN
Tensor Decompositions for Data Science

Tensor Decompositions for Data Science

A

Grey Ballard, Tamara G. Kolda

AI и ML
EN
Pandas Cookbook. Third Edition. Practical recipes for scientific computing, time series, and exploratory data analysis using Python

Pandas Cookbook. Third Edition. Practical recipes for scientific computing, time series, and exploratory data analysis using Python

A

William Ayd, Matthew Harrison

AI и ML
EN
The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro

The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro

A

David Asboth

AI и ML
RU
Анализ социальных сетей на Python

Анализ социальных сетей на Python

F

Автор не указан

Алгоритмы и теория
EN
Statistics Done Wrong: The Woefully Complete Guide

Statistics Done Wrong: The Woefully Complete Guide

A

Alex Reinhart

AI и ML
EN
AI Advanced Machine Learning for Finance with Python

AI Advanced Machine Learning for Finance with Python

A

Hayden Van Der Post

AI и ML
EN
Quantum Mechanics and Bayesian Machines

Quantum Mechanics and Bayesian Machines

A

George Chapline

AI и ML
EN
Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

A

Matthew Rosch

AI и ML
EN
Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making

Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making

A

Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere

AI и ML
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